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检索条件"任意字段=Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"

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Advances in image and graphics Technologies: 11th Chinese conference, IGTA 2016, Beijing, China, July 8-9, 2016, proceedings 1st ed.

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丛书名： Communications in computer and Information Science 634

2016年

作者： Tieniu Tan, Guoping Wang, Shengjin Wang, Yue Liu, Xiaoru Yuan, Ran He, Sheng Li (eds.)

ISBN: (数字)9789811022609

ISBN: (纸本)9789811022593;9789811022609

this book constitutes the refereed proceedings of the 11th Chinese conference on image and graphics Technologies and Applications, IGTA 2016, held in Beijing, China in July 2016. the 27 papers presented were carefully reviewed and selected from 69 submissions. they provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR; as well as image technology applications.

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TraceMove: A data-assisted interface for sketching 2D character animation 11

TraceMove: A data-assisted interface for sketching 2D charac...

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11th International conference on computer graphics theory and Application, GRAPP 2016;Part of the 11th Joint conference on computer vision, Imaging and computer graphics theory and Applications, VISIGRAPP 2016

作者： Patel, Priyanka Gupta, Heena Chaudhuri, Parag Department of Computer Science and Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9789897581755

In this paper we present TraceMove, a system to help novice animators create 2D, hand-drawn, character animation. the system and interface assists not only in sketching the character properly but also in animating it. A database of image frames, from recorded videos of humans performing various motions, is used to provide pose silhouette suggestions as a static pose hint to the users as they draw the character. the user can trace and draw over the generated suggestions to create the sketch of the pose. then the sketch of the next frame of the animation being drawn is automatically generated by the system as a moving pose hint. In order to do this, the user marks the skeleton of the character in a single sketched pose, and a motion capture database is used to predict the skeleton for the subsequent frame. the sketched pose is then deformed according to the predicted skeleton pose. Furthermore, the sketch generated by the system for any frame can always be edited by the animator. this lets novice artists and animators generate hand-drawn 2D animated characters with minimal effort. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Animation

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Parallel implementation of image sharpening method using grid warping 26

Parallel implementation of image sharpening method using gri...

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26th International conference on computer graphics and vision, GraphiCon 2016

作者： Gusev, A.D. Nasonov, A.V. Krylov, A.S. Laboratory of Mathematical Method of Image Processing Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Moscow Russia

the development of image sharpening algorithms is a challenging problem. the paper presents a parallel implementation of grid warping algorithm for the problem of image sharpening. the algorithm shifts pixels toward edge centerlines to make the edges sharper instead of changing pixel values directly. this approach does not amplify noise level and does not add ringing effect. © proceedings of the 26th International conference on computer graphics and vision, GraphiCon 2016. All rights reserved.

关键词： Pixels

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Fast and High-Quality Bilateral Filtering Using Gauss-Chebyshev Approximation 11

Fast and High-Quality Bilateral Filtering Using Gauss-Chebys...

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11th International conference on Signal processing and Communications (SPCOM)

作者： Ghosh, Sanjay Chaudhury, Kunal N. Indian Inst Sci Dept Elect Engn Bangalore Karnataka India

ISBN: (纸本)9781509017461

the bilateral filter is an edge-preserving smoother that has diverse applications in image processing, computer vision, computer graphics, and computational photography. the filter uses a spatial kernel along with a range kernel to perform edge-preserving smoothing. In this paper, we consider the Gaussian bilateral filter where both the kernels are Gaussian. A direct implementation of the Gaussian bilateral filter requires O (sigma(2)(s)) operations per pixel, where sigma(s) is the standard deviation of the spatial Gaussian. In fact, it is well-known that the direct implementation is slow in practice. We present an approximation of the Gaussian bilateral filter, whereby we can cut down the number of operations to O (1) per pixel for any arbitrary sigma(s), and yet achieve very high-quality filtering that is almost indistinguishable from the output of the original filter. We demonstrate that the proposed approximation is few orders faster in practice compared to the direct implementation. We also demonstrate that the approximation is competitive with existing fast algorithms in terms of speed and accuracy.

关键词： Fast algorithm bilateral filter Gaussian kernel Chebyshev polynomial minimax approximation

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A Framework to assess Sun Salutation videos 16

A Framework to assess Sun Salutation videos

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10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Jain, Hiteshi Harit, Gaurav Indian Inst Technol Jodhpur Dept Comp Sci & Engn Jodhpur 342011 Rajasthan India

ISBN: (纸本)9781450347532

there are many exercises which are repetitive in nature and are required to be done with perfection to derive maximum benefits. Sun Salutation or Surya Namaskar is one of the oldest yoga practice known. It is a sequence of ten actions or 'asanas' where the actions are synchronized with breathing and each action and its transition should be performed with minimal jerks. Essentially, it is important that this yoga practice be performed with Grace and Consistency. In this context, Grace is the ability of a person to perform an exercise with smoothness i.e. without sudden movements or jerks during the posture transition and Consistency measures the repeatability of an exercise in every cycle. We propose an algorithm that assesses how well a person practices Sun Salutation in terms of grace and consistency. Our approach works by training individual HMMs for each asana using STIP features[11] followed by automatic segmentation and labeling of the entire Sun Salutation sequence using a concatenated-HMM. the metric of grace and consistency are then laid down in terms of posture transition times. the assessments made by our system are compared with the assessments of the yoga trainer to derive the accuracy of the system. We introduce a dataset for Sun Salutation videos comprising 30 sequences of perfect Sun Salutation performed by seven experts and used this dataset to train our system. While Sun Salutation can be judged on multiple parameters, we focus mainly on judging Grace and Consistency.

关键词： Sun Salutation HMM STIP grace consistency

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3D anomaly inspection system for sewer pipes using stereo vision and novel image processing 11

3D anomaly inspection system for sewer pipes using stereo vi...

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11th IEEE conference on Industrial Electronics and Applications, ICIEA 2016

作者： Huynh, Phat Ross, Robert Martchenko, Andrew Devlin, John Department of Engineering La Trobe University MelbourneVIC Australia

ISBN: (纸本)9781509026050

this paper describes and evaluates a novel 3D inspection system to detect anomalies in sewer pipes using stereo vision coupled with novel image processing algorithms. Currently, most commercial pipe inspection systems are designed with one or more Closed-circuit Television (CCTV) cameras. these systems are slow, costly and have limited accuracy (caused by human and environmental factors). More sophisticated systems (Laser-based, Infrared thermography, Ultrasonic-based and Ground Penetrating Radar) suffer from: low resolution, high noise, high operational costs and an inability to detect water infiltration. the main objective of this research is to apply stereo vision and robust image processing to generate 3D images of anomalies in sewer pipes in order to achieve high efficiency and accuracy for pipe inspection. the results show that various types of defects are successfully detectable. In addition, the correspondence time can be reduced by up to 45% and the accuracy of disparity maps is maintained compared to traditional local correspondence algorithms. Each component of the proposed system was tested individually with real and simulated data sets. © 2016 IEEE.

关键词： computer vision

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vision based Counting of Texture-less Objects using Shape and Color Features 11

Vision based Counting of Texture-less Objects using Shape an...

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11th International conference on Industrial and Information Systems (ICIIS)

作者： Verma, Nishchal K. Sharma, Teena Rajurkar, Shreedharkumar D. Ranjanand, Rakesh Salour, Al Indian Inst Technol Kanpur 208016 Uttar Pradesh India ISM Dhanbad Bihar India Boeing Co St Louis MO USA

ISBN: (纸本)9781509038183

Automatic object recognition for texture-less objects using computer vision is a difficult task in comparison of textured one since class discriminative information is rarely available. Herein, an algorithm to count such objects using shape and color attributes for recognition with scale, rotation and illumination invariance is proposed. Initially, the algorithm extracts shape and color features of the prototype image to find its instance in the real-time pre-processed scene image captured by the vision interface. the pre-processing is achieved by morphological boundary extraction and segmentation techniques. Color and shape features are extracted based on mean hue value and Hu-moments respectively from the obtained segments. SVM, kNN, neural network and tree-bagging are then applied for classification. Tree-bagging is found to eclipse over the other classifiers in terms of accuracy. Finally, the classified objects are counted and localized in the image by drawing bounding boxes around them. A desktop application of the proposed algorithm is also developed. To assess the performance of the proposed algorithm, experimentation has been carried out for various objects having different shapes and colors. the algorithm proved out to be robust and effective for recognition and counting of the texture-less objects.

关键词： Texture-less object object counting Humoments SVM kNN tree bagging neural network

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Variance Adaptive SLIC 11

Variance Adaptive SLIC

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IEEE 11th conference on Industrial Electronics and Applications (ICIEA)

作者： Kou, Fei Li, Zhengguo Wen, Changyun Chen, Weihai Beihang Univ Sch Automat Sci & Elect Engn Beijing Peoples R China Inst Infocomm Res Signal Proc Dept Singapore Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

ISBN: (纸本)9781467386449

Superpixel segmentation becomes more and more popular in the fields of computer vision and image processing. the simple linear iterative clustering (SLIC) is widely used due to its high segmentation accuracy and low computational complexity. In this paper, we propose a variance adaptive SLIC (VASLIC) algorithm. the compactness factor of the proposed algorithm is determined according to the image neighbourhood variance. In this way, more suitable compactness number is selected for each pixel. As a result, the proposed algorithm has higher segmentation accuracy than the SLIC and lower computational complexity. Experimental results on superpixel benchmark show that this newly proposed algorithm is indeed better than the SLIC.

关键词： SLIC image segmentation variance adaptive superpixel

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A GRAPHICAL APPROACH FOR FREEFORM SURFACE OFFSETTING WIth GPU ACCELERATION FOR SUBTRACTIVE 3D PRINTING 11

A GRAPHICAL APPROACH FOR FREEFORM SURFACE OFFSETTING WITH GP...

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11th ASME International Manufacturing Science and Engineering conference (MSEC)

作者： Hossain, Mohammad M. Vuduc, Richard W. Nath, Chandra Kurfess, thomas R. Tucker, thomas M. Georgia Inst Technol Coll Comp Atlanta GA 30332 USA Georgia Inst Technol Sch Mech Engn Atlanta GA 30332 USA Tucker Innovat Inc Waxhaw NC 28173 USA Hitachi Amer Ltd Div Res & Dev Farmington Hills MI USA

ISBN: (纸本)9780791849903

the lack of plug-and-play programmability in conventional toolpath planning approach in subtractive manufacturing, i.e., machining leads to significantly higher manufacturing cost for CNC based prototyping. In computer aided manufacturing (CAM) packages, typical B-rep or NURBS based representations of the CAD interfaces challenge core computations of tool trajectories generation process, such as, surface offsetting to be completely automated. In this work the problem of efficient generation of free-form surface offsets is addressed with a novel volumetric representation. It presents an image filter based offsetting algorithm, which leverages the parallel computing engines on modern graphics processor unit (GPU). the scalable voxel data structure and the proposed hardware-accelerated volumetric offsetting together advance the computation and memory efficiencies well beyond the capability of past studies. Additionally, in order to further accelerate the offset computation the problem of offsetting with a large distance is decomposed into successive offsetting using smaller distances. the accuracy of the offset algorithms is thoroughly analyzed. the developed GPU implementation of the offsetting algorithm is robust in computation, easy to comprehend, and achieves a 50-fold speedup on single graphics card (NVIDIA GTX780Ti) relative to prior best-performing dual socket quad-core CPU implementation.

关键词： computer-aided manufacturing graphics processing units computer numerical control machine tools Algorithms Engines Hardware Filters Computation computer-aided design Additive manufacturing Machining Manufacturing

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Anveshak - A groundtruth generation tool for foreground regions of document images 10

Anveshak - A groundtruth generation tool for foreground regi...

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10th indian conference on computer vision, graphics and image processing, ICVGIP 2016

作者： Dey, Soumyadeep Mukherjee, Jayanta Sural, Shamik Nandedkar, Amit Vijay Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Kharagpur721302 India

We propose a graphical user interface based groundtruth generation tool in this paper. Here, annotation of an input document image is done based on the foreground pixels. Foreground pixels are grouped together with user interaction to form labeling units. these units are then labeled by the user with the user defined labels. the output produced by the tool is an image with an XML file containing its metadata information. this annotated data can be further used in different applications of document image analysis. © Springer International Publishing AG 2017.

关键词： Pixels

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