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Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference

Date 6-8 Aug. 2013

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Displaying Results 1 - 25 of 37
  • [Front cover]

    Publication Year: 2013 , Page(s): C4
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  • [Title page i]

    Publication Year: 2013 , Page(s): i
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  • [Title page iii]

    Publication Year: 2013 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2013 , Page(s): iv
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  • Table of contents

    Publication Year: 2013 , Page(s): v - vii
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  • Preface

    Publication Year: 2013 , Page(s): viii
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  • Acknowledgments

    Publication Year: 2013 , Page(s): ix
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  • Committees

    Publication Year: 2013 , Page(s): x - xi
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  • Program/Review Committee

    Publication Year: 2013 , Page(s): xii
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  • Keynote Lectures

    Publication Year: 2013 , Page(s): xiii - xviii
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (399 KB)  

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • D-Art Gallery 2013

    Publication Year: 2013 , Page(s): xix - xxi
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  • Cover image credits

    Publication Year: 2013 , Page(s): xxii
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  • A Survey of 2D and 3D Shape Descriptors

    Publication Year: 2013 , Page(s): 1 - 10
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (186 KB) |  | HTML iconHTML  

    3D objects play a vital role in computer games, movies, TV, engineering design, and biological sciences. Researchers have studied 3D object retrieval techniques using 2D and 3D shape descriptors in the last several decades. In this paper, some of the most popular shape descriptors are reviewed. We first discuss the important criteria for a good shape descriptor. Then, we classify 2D and 3D shape descriptors into several categories. For each category, we review the state-of-the-art techniques along with their advantages and disadvantages. We also examine the recent contributions and improvements in these techniques and provide a comparison with other successful techniques based on previous literature and surveys. Finally we discuss the possible future directions. View full abstract»

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  • Progressive Animation Sequences

    Publication Year: 2013 , Page(s): 11 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1576 KB) |  | HTML iconHTML  

    3D animations have been widely used in the movie and gaming industries. However, the huge storage requirements of dynamic mesh data make it difficult for a number of applications such as rendering, transmitting over a network, etc.This study proposes a multiresolution representation for 3D animation. The results show that the coarse animation appears by using only 10% of the original faces. More detailed animation appears by using 80% of original faces, but only requires 3% of original storage space. Consequently, this approach enables a continuous level of detail for dynamic 3D mesh sequences. View full abstract»

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  • Simulating Gait and Structural Effects of Aging for Improved Diversity in Virtual Crowds

    Publication Year: 2013 , Page(s): 17 - 22
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (255 KB) |  | HTML iconHTML  

    In real human crowds, diversification is caused by many factors such as gender, age, skin color, clothing, walking style, psychology etc., yet most crowd simulation systems rely only on appearance related variables for diversification. This research explores improving crowd diversity by simulating the biomechanical effects of aging in humans within crowd characters. Simulated characters were reprogrammed to be able to predict their behavior through an aging parameter predictor using support vector regression respective to their age. Data from gerontology studies recording spinal curvature and walking pattern deterioration with age were used for training. A spatial diversity algorithm was designed and implemented to distribute the resulting variants evenly among each other. Evaluations were conducted to gauge the impact on the diversification of the crowd simulation. The results prove that simulating posture and walking pattern deterioration in older characters does significantly improve biomechanical diversity within a virtual human crowd. View full abstract»

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  • A Combined Linear and Circular-Arc Approximation of Curves for Feedrate Smoothing of CNC Machining

    Publication Year: 2013 , Page(s): 23 - 26
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (171 KB) |  | HTML iconHTML  

    This paper presents an estimation technique used to represent a parametric curve by a sequence of lines and circular arcs in CNC tool path generation. The advantage of this algorithm is that it can decrease the number of segments required for approximating the curve with the pre-defined tolerance value when compared to the common linearization process. A new combined algorithm also reduces a complexity of existing circular-arc approximation algorithms and can decrease computational time. The main contribution of this paper is a new algorithm provides with smoother feedrate of CNC machining controller due to the corner reduction. The experimental results are provided by the comparison of the original linearization method and this combined linear and circular-arc approximation method. View full abstract»

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  • Real-Time Rendering of Rough Refraction under Dynamically Varying Environmental Lighting

    Publication Year: 2013 , Page(s): 27 - 32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1514 KB) |  | HTML iconHTML  

    The illumination of rough refraction is challenging due to the complex integrations of scattered lights from multiple directions. Prefiltered environment map is able to eliminate the comprehensive integrations, but the precomputation stage protects it from being adapted into dynamically varying environmental lighting. We propose a real-time method for rendering rough refraction, supporting dynamically changing lighting, geometries and materials. Environment maps are efficiently compressed by summed area table (SAT), whose construction only costs several milliseconds. Meanwhile, rough refraction effects are approximated by our lobe merging method. Solid results of our approach are demonstrated by comparing with ground truth results generated with a path tracing engine. View full abstract»

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  • Approximating Handwritten Curve by Using Progressive-Iterative Approximation

    Publication Year: 2013 , Page(s): 33 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (377 KB) |  | HTML iconHTML  

    In this paper, a given handwritten curve will be approximately converted into a Bezier curve. First, a number of sampled points on the given curve are systematically chosen to guarantee that the Bezier curve can be adequately modeled without the loss of curve characteristics. These points are considered to be the Bezier control points. The Progressive-Iterative Approximation (PIA) is then adopted to construct the interpolating curve. Employing PIA algorithm, Bernstein polynomials are selected to be a blending function of PIA so that this interpolating curve will develop a Bezier curve. This technique will avoid the ill-conditioned circumstance because of using Newton/Lagrange polynomials in curve fitting. View full abstract»

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  • Conversion of Rational Bezier Curves into Non-rational Bezier Curves Using Progressive Iterative Approximation

    Publication Year: 2013 , Page(s): 38 - 41
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (178 KB) |  | HTML iconHTML  

    This paper presents a method to convert rational Bézier curves into non-rational Bézier curve. Using the proposed method, a series of points are first sampled from the input rational Bézier curve. Then a Progressive Iterative Approximation algorithm is used to calculate for a non-rational Bézier curve that fits the sampling points. Demonstration of using the proposed algorithm to approximate input rational Bézier curves is illustrated. Experimental results show that using more sampling points provides better approximation. However, rendering a Bézier curve with too many control points is time-consuming. The optimal result should provide good approximation using as less sampling points as possible. Quality of the approximation also depend on positions of sampling points. View full abstract»

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  • New Monomial Forms Approach for DP and NB1 Curves with Their Proofs

    Publication Year: 2013 , Page(s): 42 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (250 KB) |  | HTML iconHTML  

    There are several methods used to construct curves in CAGD, e.g., the de Casteljaus algorithm, DP algorithm, and NB1 algorithm. However, they are represented in the forms that are not suitable for performing geometric modeling. A proposed approach for evaluating DP curve, NB1 Curve by using monomial form was introduced by Aphirukmatakun and Dejdumrong in 2009. The authors did not provide any proofs for their propositions. Thus, this paper shows the proofs for the conversions from DP polynomial into its monomial form as well as NB1 polynomial. View full abstract»

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  • An Approach to Thai Decorative Pattern Recognition Using Bezier Curve Representation with Progressive Iterative Approximation

    Publication Year: 2013 , Page(s): 46 - 49
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (301 KB) |  | HTML iconHTML  

    This paper presents a method to convert Thai decorative pattern (Lai-Thai) from a hand-drawn picture into a vector graphic image. The proposed method samples a series of points from a scanned image. Then a Progressive Iterative Approximation (PIA) algorithm is used to plot a corresponding Bézier curve that fits sampling points. Examples of curve fitting to Thai famous decorative patterns, Kra-Jung-Taa-Aoy and Pra-jam-yam patterns are demonstrated. The results show that more number of sampling points on the input path yields better quality in pattern recognition but the process may consume longer computational time. A challenge of this method is to choose an optimal number of sampling points to yield good quality of the approximation with minimal computational time. Quality of the output also depends on the methods of selecting sampling points. View full abstract»

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  • Texture Synthesis Approach Using Cooperative Features

    Publication Year: 2013 , Page(s): 50 - 51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (145 KB) |  | HTML iconHTML  

    In recent years, a lot of 2D textures have been synthesized from input 2D textures. However, the quality problems still exist for many textures. Further improvements are required to extract more reliable texture features. In this paper, we present a texture synthesis approach using cooperative color and grey-level features. For color feature extraction, we extract appearance vectors to replace RGB color values. For grey-level feature extraction, we extract the statistical features including entropy, contrast, and correlation based on the grey level co-occurrence probabilities (GLCPs). Moreover, we introduce cooperative color and GLCP features for neighborhood matching in the synthesis process. We assign different weights for color and grey-level features according to the characteristics of the input texture. The results show that the proposed approach performs well in terms of the synthesis quality. View full abstract»

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  • Interactive Segmentation Based on Initial Segmentation and Region Merging

    Publication Year: 2013 , Page(s): 52 - 55
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (677 KB) |  | HTML iconHTML  

    Interactive segmentation is one of the most popular and challenging segmentation methods. For the purpose to accurately extract objects from different images, this paper presents an interactive image segmentation method based on initial segmentation and region merging that the users only need to roughly mark the regions of the object and background by using markers. First, a Super-pixel based initial segmentation is applied to the original image. After that, the original image will be divided into some regions. Second, a novel region feature based on color histogram and Contourlet transform is computed for each region. Third, merge the regions which are similar to marked object region and merge the regions similar to marked background region, until there are only two kinds of regions - object and background. Compared with other algorithms, our experiment shows that the proposed scheme can reliably and rapidly extract the desired object from the complex background. View full abstract»

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  • Wavelets-Based Smoothness Metric for Volume Data

    Publication Year: 2013 , Page(s): 56 - 61
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (268 KB) |  | HTML iconHTML  

    In this paper we describe an objective smoothness assessment method for volume data. The metric can predict the extent of the difference in smoothness between a reference model, which may not be of perfect quality, and a distorted version. The proposed metric is based on the wavelet characterization of Besov function spaces. The comparison of Besov norm between two models can resolve the global and local differences in smoothness between them. Experimental results from volume datasets with smoothing and sharpening operations demonstrate its effectiveness. Also, the proposed smoothness index correlates well with human perceived vision when compared with direct volume rendered images. View full abstract»

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  • A Technique for Skew Detection of Printed Arabic Documents

    Publication Year: 2013 , Page(s): 62 - 67
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (644 KB) |  | HTML iconHTML  

    Document skew correction is one of the core preprocessing steps in document analysis systems. In this paper, the author proposes a new multi-step skew detection technique for printed Arabic documents. The technique exploits the unique property of the writing line of Arabic script and is based on connected component analysis and projection profiles. The proposed technique works for different types of Arabic documents having text and non-text zones with unrestricted layout. Moreover due to the multi-step approach, it can detect skews with the resolution of ± 0.05 degrees. Experiments conducted on different Arabic documents shows the effectiveness of the technique. View full abstract»

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