Loading...
Welcome to Journal of Graphics share: 

Table of Contents

    28 February 2017, Volume 38 Issue 1 Previous Issue    Next Issue

    For Selected: Toggle Thumbnails
    View Frustum Culling Geometric Algorithm
    YU Haiyan1, ZHANG Shuai1, YU Peiwen1, HE Yuanjun2
    2017, 38(1): 1-4.  DOI: 10.11996/JG.j.2095-302X.2017010001
    Abstract ( 185 )   PDF (296KB) ( 276 )  
    From the point of view of geometry, a view frustum culling geometric algorithm is
    designed based on projective theory in descriptive geometry. The basic idea is that a proper
    computational coordinate system is built, where the space position relation of the view frustum and a
    line segment is transformed into the plane position relation of a trapezoid and the line segment by
    simple orthographic projection. This geometric dimension reduction method is beneficial to solve
    space geometric singular issue. A test sample is designed which includes all kinds of typical position
    relations of the view frustum and the line segment to comprehensively evaluate algorithm’s speed and
    stability. And especially, there are 78 kinds of geometric singular relations. At last, our view frustum
    culling geometric algorithm, classical Liang-Barsky algorithm and a basic algorithm to solvethe
    problem of intersection with 6 planes have been implemented on Visual C++ with C program. On the
    basement of qualitative analysis, these 3 algorithms have been tested on speed and stability.
    Related Articles | Metrics
    The Cutting Stock Problem of Circular Items Based on#br# Sequential Grouping Heuristic Algorithm
    CHEN Yan1,2, XIE Qiqi1, LIU Yong1, CUI Yaodong1
    2017, 38(1): 5-9.  DOI: 10.11996/JG.j.2095-302X.2017010005
    Abstract ( 91 )   PDF (549KB) ( 199 )  
    Aiming at the special application background of the small batch cutting problem of circular
    items, this paper introduces the thought of parallel group on the basis of sequential heuristic
    procedure, and presents the sequential grouping heuristic algorithm (SGHA) based on the group
    selection strategy. The SGHA combined with recursion method can generate a large number of optimal
    cutting plans, and the best cutting plan of circular items can be selected with the parameter regulation.
    Experimental result proves that the computational time is reasonable, the algorithm in this paper can
    improve the average utilization rate of material effectively, and it has a realistic significance.
    Related Articles | Metrics
    A Method for Three-Staged Two-Dimensional Guillotine Cutting with Usable Leftover
    CHEN Qiulian, SONG Renkun, CUI Yaodong
    2017, 38(1): 10-14.  DOI: 10.11996/JG.j.2095-302X.2017010010
    Abstract ( 118 )   PDF (438KB) ( 243 )  
    Reuse of leftovers is an important way for enterprises to reduce costs and environmental
    pollution. The paper solves the two-dimensional guillotine cutting stock problem considering the
    reuse value of the leftover. The beam search heuristic is used to generate three-staged homogenous
    cutting patterns of high material utilization and low processing complexity. The nodes consider both
    the value of included items and the reusability of the leftover. It makes a good balance between the
    low material costs of the current production cycle and the reusability of leftovers for future. The
    optimization process is demonstrated, and the computational results compared with literature. It
    shows that the algorithm can effectively save plate and generate standard leftovers.
    Related Articles | Metrics
    Improved Probability Iterative Closest Point Registration Algorithm
    ZHAO Fuqun1,2, ZHOU Mingquan2,3
    2017, 38(1): 15-22.  DOI: 10.11996/JG.j.2095-302X.2017010015
    Abstract ( 123 )   PDF (542KB) ( 231 )  
    Aiming at low convergence rate and failure registration brought by noise of iterative
    closest point (ICP) algorithm, a point cloud registration algorithm based on expectation maximum
    estimation is proposed in the paper, which is named improved probability iterative closest point
    (PICP) algorithm. Firstly, a point-to-point correspondence is built between two point cloud sets, and
    thus the registration accuracy is improved greatly. Then, Gaussian model is introduced into ICP
    algorithm, and the singular value decomposition method is used to calculate the rigid transformation.
    In the process of rigid transformation, the dynamic iteration coefficient is introduced to search the
    closest point rapidly in order to decrease iteration number and convergence rate without affecting the
    registration accuracy and convergence trend, and the accurate registration of two point cloud sets
    with noise is completed finally. The experimental results show that the improved PICP algorithm
    proposed is an accurate and fast algorithm which can effectively avoid noise and external
    interference.
    Related Articles | Metrics
    A Fast Method for 3D Solid Modeling of Topographic Map
    WANG Dazhi
    2017, 38(1): 23-27.  DOI: 10.11996/JG.j.2095-302X.2017010023
    Abstract ( 117 )   PDF (418KB) ( 337 )  
    Based on the topographic map of 3D modeling of AutoCAD platform, the accurate
    calculation of 3D visualization design is very important in earthwork engineering at the present stage.
    The general process of modeling 3D topographic map of a net surface is that a three-dimensional
    entity is stretched into by using of 2D polyline or 3D polyline. In this process, there are 20%–25%
    degradation of tensile objects, and it is needed to manually build triangle region, then these objects
    extruded. This is serious impact on modeling speed. The “boundary” function is called to generate a
    triangular irregular network area and then a sweep and lofting the interface function along the Z axis
    of the triangular mesh surface domain stretching formation of the three-dimensional object using
    coordinate transformation and contour data based on ObjectARX development technology. The fast
    terrain modeling is realized.
    Related Articles | Metrics
    Optimal Design of Bathtub Surface Based on Tekscan Pressure Measurement
    LI Zhelin, JIANG Lijun, HUANG Yurun, XIONG Zhiyong
    2017, 38(1): 28-33.  DOI: 10.11996/JG.j.2095-302X.2017010028
    Abstract ( 85 )   PDF (1392KB) ( 314 )  
    The bathtub has been widely used as household products. Due to the difference of height
    and weight of customers, the unreasonable surface shape will lead to low comfortability as using the
    product. In this paper, the pressure and the contact area are made as the evaluating parameters in
    order to design a suitable bathtub for adults. The surface of bathtub was redesigned according to
    percentile P5, P50, P95 of Chinese adult. The pressure and the contact area were measured by Tekscan
    instrument. The data which were captured from the ten testers lying in different bathtub with the
    original surface and the optimized surface was analyzed. Results shows that the peak pressure reduces
    to 58.4%–87.3%, the average pressure reduces to 83.6%–99.4%, and the contact area of the optimized
    surface increases to 1.50–2.78 times. The optimized surface effectively improves the comfortability
    of users.
    Related Articles | Metrics
    Optimal Nozzle Path Planning in 3D Printing
    LIU Jiawei, CHEN Shuangmin, WANG Xiaoli, XIN Shiqing
    2017, 38(1): 34-38.  DOI: 10.11996/JG.j.2095-302X.2017010034
    Abstract ( 83 )   PDF (437KB) ( 299 )  
    The key idea of the 3D printing technology lies in the layer-by-layer printing style, where
    designing the motion plan of the nozzle is a central constituent. It has at least three requirements: ①
    The nozzle has to go through each voxel defining the volume of the given 3D object; ② It’s better not
    to go through the same voxel multiple times; ③ The jumping from one voxel to a nonadjacent voxel
    should not be encouraged, or at least the jumping gap should be as small as possible. Based on the
    observations, the nozzle motion problem is transformed into the famous traveling salesman problem
    and then an improved backtracking algorithm used to find the solution. Furthermore, the best
    configuration of relevant parameters is given based on extensive experimental results.
    Related Articles | Metrics
    Research and Analysis on Internet Product Development System Based on ISM
    ZHANG Ruiqiu, LEI Shangzhong, HUANG Zhihui, LIU Na
    2017, 38(1): 39-44.  DOI: 10.11996/JG.j.2095-302X.2017010039
    Abstract ( 98 )   PDF (941KB) ( 235 )  
    It aims to clear vital influencing factors in Internet product development system, clarify the
    relationship between various factors, improve enterprise work efficiency and optimize development
    model. Qualitative and quantitative research was carried out on the Internet Company to extract
    influencing factors. Meanwhile work experience is as reference. The relationship model is established
    using the ISM. The adjacency matrix and matrix of direct or indirect relationship between influencing
    factors is formed using Boolean matrix. According to the hierarchical decomposition of matrix, the
    hierarchy of system is clear. Using hierarchy digraph outlines system schematic diagram and
    relationship between various factors. Relationship between system hierarchy models is established. It
    provides new ideas for the enterprise to improve the efficiency of product development and optimize
    the development process.
    Related Articles | Metrics
    Application of Extraction Model of Product Design Factors of Floral Culture
    XU Zhanmin, LI Yang
    2017, 38(1): 45-51.  DOI: 10.11996/JG.j.2095-302X.2017010045
    Abstract ( 99 )   PDF (5585KB) ( 414 )  
    How to inherit tradition and keep pace with the reasonable innovation is the key to cultural
    heritage in creative product design of tourism culture. The extraction of cultural design factors is
    difficult because it’s ambiguity and perceptual. With the development of floral tourism product design,
    the concept of floral-culture is put forward. The product design factor extraction model of
    floral-culture is built using the combination of qualitative and quantitative method. The product
    design factors are extracted from the aspects of form, color and flowery vocabulary. The design factor
    space of floral-culture is established, analyzed and extracted each factor in detail. Then the algorithms
    are tested. The hierarchy and judgment matrix is built between various factors with AHP. The
    contribution rate of each factor is calculated, and an algorithm for complete product design factor
    extraction model of floral-culture built. The model is applied in creative design of peony culture. The
    results showed that the extraction model is feasible and effective.
    Related Articles | Metrics
    The Design Factor Extraction and Application of Traditional Health Cultural
    WANG Weiwei, CHEN Mengmeng, LIU Yin, ZHANG Yujie
    2017, 38(1): 52-56.  DOI: 10.11996/JG.j.2095-302X.2017010052
    Abstract ( 89 )   PDF (6038KB) ( 249 )  
    With the development of social economy and the improvement of living standards, the
    importance of a healthy life for people gradually strengthen, preserving oneʼs health as a traditional
    philosophy of life is back. Through in-depth analysis of the core idea of keeping in good health
    culture, using the design of gene research methods, this paper discussed the train of thought of health
    cultural element extraction. Extracting the health cultural core design factors and visualizing these
    factors, using the analytic hierarchy process to evaluate and optimize the extraction scheme, finally
    combining with the characteristics of the design of smart watches, keeping in good health culture was
    put into the design of the modern smart products. Expressing unique oriental wisdom of Chinese
    culture on smart products, seeking new ideas for the wearable device design and promoting the
    development of smart wearable market to support traditional culture creative design activities and
    carry forward Chinese traditional culture.
    Related Articles | Metrics
    Segmentation of Industrial CT Image Based on Improved Exponential Cross Entropy and Glow-Worm Swarm Optimization
    MA Yinghui1,2, WU Yiquan2,3,4
    2017, 38(1): 57-62.  DOI: 10.11996/JG.j.2095-302X.2017010057
    Abstract ( 118 )   PDF (413KB) ( 226 )  
    To further improve the segmentation accuracy and processing speed of CT image in
    industrial CT detection system, the industrial CT image threshold segmentation was proposed based
    on 2-D exponential cross entropy and chaotic glow-worm swarm optimization. By using the
    minimum exponential cross entropy for threshold segmentation, the drawback of undefined value at
    zero of Shannon entropy was avoided. At the same time, 2-D histogram based on gray-gradient was
    taken to partition the object and background precisely in order to improve the anti-noise performance.
    In addition, chaotic sequence generated by cube map was used to initiate individual position for easy global searching, and chaotic glow-worm swarm optimization algorithm based cube map was used to
    search for 2-D optimal threshold in order to further increase algorithmic speed. Finally, a large
    number of experiments on industrial CT images were processed and then the experimental results
    were compared with 2-D entropy method based on firefly algorithm and minimum cross entropy
    method based on genetic algorithm. The obtained results show that the proposed method has obvious
    advantages in segmentation and processing speed.
    Related Articles | Metrics
    Hydrological Ruler Segmentation in Digital Hydrological Image
    LENG Jianwei1, SHEN Fangting2
    2017, 38(1): 63-68.  DOI: 10.11996/JG.j.2095-302X.2017010063
    Abstract ( 93 )   PDF (2347KB) ( 260 )  
    To aim at the characteristics of the hydrological monitoring video images, such as the high
    signal to noise ratio and the obvious color differences among targets and the specific location of target
    regions, a water level reading method is proposed with strong practicability and little interference
    from external factors. Due to the fixed content of cameras and only blue and red scales of
    hydrological rulers, it extracts color components according to the characteristic color of the ruler.
    After determining the adaptive threshold, the image is changed with the binary processing, denoised
    and morphological processing. The ruler successfully is segmented using Hough transform to
    determine the boundary of the hydrological ruler. All these work for reading real-time water level by
    edge detecting. The experiment results show that this method can quickly segment and get the region
    of interest efficiently.

     

    Related Articles | Metrics
    Low Dimension Discriminant Analysis on Grassmann Manifold
    ZENG Qingsong, ZHONG Runlu
    2017, 38(1): 69-75.  DOI: 10.11996/JG.j.2095-302X.2017010069
    Abstract ( 127 )   PDF (1102KB) ( 288 )  
    The key issues of video based face recognition are the way to model facial images
    precision and high efficiency and measure the similarity between two sets. To end this, a Grassmann
    manifold dimension reduction method is proposed to improve the performance of image set
    matching. Firstly, a subspace constructed by an image set is presented as a point in a Grassmann
    manifold with a projection matrix. Then, a projection metric learning approach is applied to reduce
    the dimension of the orthogonal basis matrix to obtain a lower dimension and tighten Grassmann
    manifold. Finally, a kernel function mapped the orthogonal basis matrix from a Grassmann manifold
    to Euclidean space for classification. Extensive experimental results on shared video based dataset
    show that the proposed method is an effective object matching and face recognition method based on
    set-to-set matching.
    Related Articles | Metrics
    Fast Video Shot Boundary Detection Algorithm Based on Map Reduce
    ZHENG Huijun1, CHEN Yuqiang1,2
    2017, 38(1): 76-81.  DOI: 10.11996/JG.j.2095-302X.2017010076
    Abstract ( 154 )   PDF (393KB) ( 225 )  
    Shot boundary detection is the foundation of video indexing, retrieval and analysis.
    However, the huge amount of data and the high computational cost in shot detection becomes a
    bottleneck in the practical application. Using the distributed computing of Map Reduce model, a large
    number of video data processing operations is splinted into several independent Map tasks for video
    decoding and feature extraction. Then the feature value is detected by several Reduce tasks to get the
    final shot boundary set. When extracting the features, the video is divided into 31 frames segment,
    using the histogram of block with weight to calculate the difference between first frame and last
    frame of the video segment. Through the adaptive threshold filtering out the non-boundary segments
    and the candidate segments, the further detection has been done for the candidate segments. The twice
    frame difference method of non-neighboring frame is proposed for the gradual shot detecting.
    Experimental results show that the Map Reduce model and the improved shot detection algorithm is
    effective in accelerating the shot detection process, and it can also achieve better detection accuracy.
    Related Articles | Metrics
    G-LBP and Variance Cross Projection Function for Face Recognition
    HU Min1, YU Zixi1, WANG Xiaohua1, REN Fuji1,2, HE Lei3
    2017, 38(1): 82-89.  DOI: 10.11996/JG.j.2095-302X.2017010082
    Abstract ( 182 )   PDF (1013KB) ( 330 )  
    In order to enhance robustness of traditional Gabor features towards illumination,
    expression and pose variance and overcome its high dimension problem, the paper proposes a face
    recognition method based on Gabor, local binary patter and variance projection entropy improved
    algorithm. First, the multi direction multi-scale fusion Gabor image is coded with LBP, and the coded
    image fused and the histograms of image block calculated. Second, a local projection entropy feature
    extraction is adopted for face images with anti-geometric distortion variance projection entropy and
    cross variance projection entropy operator. Finally, the face recognition is completed by using BP
    neutral network to fuse and make decision weightily. The G-LBP feature extraction reduces the
    redundancy of data greatly, and maintains the integrity of the effective information. Variance
    projection of entropy and cross entropy improves the richness of the feature. The weighted fusion in
    decision-making layer plays an important role of integration between the classifiers and improves the recognition rate of face recognition. Compared with other literature algorithms, experiment results
    verify the effectiveness and superiority of the proposed algorithm.
    Related Articles | Metrics
    3D Medical Image Registration Based on Clifford Relative Invariant and Region of Interest
    HUA Liang, CHENG Tianyu, GU Juping, YU Kean
    2017, 38(1): 90-96.  DOI: 10.11996/JG.j.2095-302X.2017010090
    Abstract ( 125 )   PDF (742KB) ( 372 )  
    A region of interest (ROI) is delineated based on the registration by using the geometric
    features of skull contour, and a new construction method of relative invariants put forward under the
    framework of Clifford algebra. The method proposed regards the contour data of ROI in the skull as
    the point cloud for registration, and constructs the mathematical and calculation models of the relative
    geometric invariants according to the similarity of skull contour. After calculating the translation and
    the rotation operator required for the registration algorithm, the registration of three-dimensional data
    can be preceded directly by adopting the new similarity measure of the 3D medical image. The
    registration data are from the BrainWeb database and “Retrospective image registration evaluation”
    project data of the University of Vanderbilt in the United States. Experiments show that our algorithm
    has high efficiency in the registration of ROI in the skull. And it can calculate the 3D position of the
    tissue organ more accurately. The mean error is within 2-4 mm, and the registration accuracy is up to
    sub-pixel level.
    Related Articles | Metrics
    A Phased and Progressive Modeling Method of BIM
    YU Fangqiang1, ZHANG Jianping2
    2017, 38(1): 97-101.  DOI: 10.11996/JG.j.2095-302X.2017010097
    Abstract ( 216 )   PDF (1198KB) ( 396 )  
    BIM technology has been rapidly developed over the past 10 years. However, it’s still
    difficult to deliver information smoothly between different phases due to that there are many
    participants involved in a building project. Consequently, a completed BIM still can’t be constructed.
    To address this problem, this paper proposes a phased and progressive modeling method (PPMM) of
    BIM, together with a basic agreement for cooperative modeling among all participants, and modeling
    procedures. The method supports various participants to cooperatively create BIM under a unified
    framework. Being verified by a real project, the PPMM is effective for preventing from repetitive
    modelling and inconsistent data, and is helpful for generating a completed and consistent BIM in BIM
    database, which is a foundation of building lifecycle-oriented BIM application.
    Related Articles | Metrics
    Discussion about Reform of Civil Engineering Course System Based on BIM Talent Training
    HE Rui, LUAN Yingyan, GAO Dai
    2017, 38(1): 102-108.  DOI: 10.11996/JG.j.2095-302X.2017010102
    Abstract ( 201 )   PDF (19692KB) ( 202 )  
    Building information modeling (BIM) is a new technology in architecture field and wildly
    used in Europe and USA by its low cost, high efficiency, visualization and data sharing. To apply BIM
    is accelerate in China Construction Department “Twelfth Five Year Plan”. According to the BIM
    talent gap problem with cutting-edge technologies, civil drawing course including manual drawing,
    AutoCAD and BIM are given by Harbin Industrial University. Two rounds of teaching results show
    that the introduction of three-dimensional teaching is conducive to improve students’ ability to read
    civil drawings and also stimulate students' interest in active learning.
    Related Articles | Metrics
    Application and Research on Teaching Reform in CAD Course for Civil Engineering Majors Combining with BIM Technology
    SUN Ming, HU Nini
    2017, 38(1): 109-113.  DOI: 10.11996/JG.j.2095-302X.2017010109
    Abstract ( 109 )   PDF (201KB) ( 338 )  
    Based on the current situation of CAD course teaching in applied local university and
    building information modeling (BIM) technology, a reform is carried out from two aspects that is on
    CAD course combining with BIM technology and exploration of teaching practice. It also puts
    forward to apply AutoCAD, TArch, and Revit into project task-driven classroom instruction and
    homework arrangement so as to improve students’ subjective initiative in study, and cultivate
    excellent applied engineers who can meet market demands and the requirement of the developing
    trend in the future.
    Related Articles | Metrics
    The Reform and Practice of Engineering Graphics Courses in Applied University
    LI Yugen, MA Xiaoli, LI Dongmei, HU Dawei, DONG Ru
    2017, 38(1): 114-118.  DOI: 10.11996/JG.j.2095-302X.2017010114
    Abstract ( 137 )   PDF (461KB) ( 257 )  
    Based on the three civil engineering majors of applied local campus Yulin University for
    example, the lack of engineering graphics courses teaching is analyzed combining with questionnaire
    survey results. The graphics course group is built by training applied ability. The whole process of
    graphics skills training is concluded by participation of school and enterprises with reforms of learning
    interesting training, the teaching content selecting, second classroom teaching and other aspects.
    Explored teaching new mode of engineering graphics courses under the background of transformation
    to train the depth and breadth of graphics skills of students and service the local economy. The results
    show that the reform measures can improve the students’ ability of graphics applications.
    Related Articles | Metrics
    Cultivating Design Innovation Ability of the Students Based on 3D Engineering Drawing
    YAO Yan
    2017, 38(1): 119-122.  DOI: 10.11996/JG.j.2095-302X.2017010119
    Abstract ( 99 )   PDF (374KB) ( 297 )  
    After study the inevitability of engineering drawing from 2D teaching mode to 3D, the
    advantages and disadvantages of various 3D engineering graphics teaching modes are compared.
    Then a new teaching mode–improved main line mode is put forward which is based on the 3D
    engineering graphics to cultivate students’ creative ability. The practice proved that the new teaching
    mode is useful.
    Related Articles | Metrics
    The Innovation and Practice of Engineering Drawing Teaching Based on All-Around Opening Labs
    LIU Ying, LI Kai, CAO Mo, LI Leyi
    2017, 38(1): 123-127.  DOI: 10.11996/JG.j.2095-302X.2017010123
    Abstract ( 77 )   PDF (3206KB) ( 241 )  
    This paper introduces a method of introducing all-around opening labs to the class teaching
    of engineering drawing, and many practicing instances are given. This teaching mode is based on
    students’ self-lab-management, case-driven micro lecture learning, and the combination of class
    teaching and opening lab practicing. It has been successfully run for more than 3 years, and large
    quantity of excellent students’ works have been accomplished, which proves that it is very effective to
    improve student’ s learning interests, practicing ability and innovation consciousness. This mode is
    replicable.
    Related Articles | Metrics
    Numerical Analysis of Slope Stability Based on XFEM
    CHANG Jianmei, SONG Siwen
    2017, 38(1): 128-131.  DOI: 10.11996/JG.j.2095-302X.2017010128
    Abstract ( 77 )   PDF (353KB) ( 307 )  
    It is obvious phenomenon that cracks exist in the upper part of slope. This paper considers
    that the failure of slope is caused by composition of crack and shear, but not single shear failure.
    Tension and Mohr-Coulomb shear failure is discussed in the analysis of slope and the just connection
    between the shear failure zone, and crack is regarded as the criterion of sliding failure of slope.
    Extended finite element method is adopted to simulate the cracking of tension. Unified enrichment
    function is used in the approximation of discontinuous field in which mixing element is avoided and
    the enrichment freedom has significance. The simulation results show that if the tension failure is not
    taken into account, the factors of safety of slope stability are higher. Therefore, it is necessary to
    consider the tension failure of soil. Meanwhile, the length of the crack of tension is longer than the
    theoretical ones. It can be used as reference for the judgment of critical sliding surface.
    Related Articles | Metrics
    Design and Practice of Mobile Learning Resources of Computer Graphics Course
    LI Zhixiang
    2017, 38(1): 132-136.  DOI: 10.11996/JG.j.2095-302X.2017010132
    Abstract ( 92 )   PDF (935KB) ( 190 )  
    Mobile learning is an effective complement to the modern distance learning, as it can be
    accessible from virtually anywhere and anytime. The mobile learning resources is designed and
    developed on the basis of the analysis of course characteristics and the existing issues of teaching.
    Combining task-driven, process evaluation and fragmented learning, the mobile learning resources
    emphasize learning in using. It provides a useful exploration for teaching practice of computer
    graphics course.
    Related Articles | Metrics