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检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"

共 1005 条记录，以下是421-430 订阅

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Detection of Self Intersection in Synthetic Hand Pose Generators 15

Detection of Self Intersection in Synthetic Hand Pose Genera...

引用

15th IAPR International conference on Machine vision Applications (MVA)

作者： Das, Shome Subhra Indian Inst Sci Elect Engn Dept CVAI Lab Bangalore Karnataka India

ISBN: (纸本)9784901122160

Synthetic hand pose data has been frequently used in vision based hand gesture recognition. However existing synthetic hand pose generators are not able to detect intersection between various hand parts and can synthesize self intersecting poses. Using such data may lead to learning wrong models. We propose a method to eliminate self intersecting synthetic hand poses by accurately detecting intersections between various hand parts. We model each hand part as a convex hull and calculate pairwise distance between the parts, labeling any pair with a negative distance as intersecting. A hand pose with at least one pair of intersecting parts is labeled as self intersecting. We show experimentally that our method is very accurate and performs better than existing techniques. We also show that it is fast enough for offline data generation.

关键词： three-dimensional displays image segmentation conferences Generators Pose estimation Joints Rendering (computer graphics)

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Extending Guided image Filtering for High-Dimensional Signals 11

Extending Guided Image Filtering for High-Dimensional Signal...

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11th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP)

作者： Fujita, Shu Fukushima, Norishige Nagoya Univ Nagoya Aichi Japan Nagoya Inst Technol Nagoya Aichi Japan

ISBN: (纸本)9783319648705;9783319648699

this paper presents an extended method of guided image filtering (GF) for high-dimensional signals and proposes various applications for it. the important properties of GF include edge-preserving filtering, local linearity in a filtering kernel region, and the ability of constant time filtering in any kernel radius. GF can suffer from noise caused by violations of the local linearity when the kernel radius is large. Moreover, unexpected noise and complex textures can further degrade the local linearity. We propose high-dimensional guided image filtering (HGF) and a novel framework named combining guidance filtering (CGF). Experimental results show that HGF and CGF can work robustly and efficiently for various applications in image processing.

关键词： image processing

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the Research of Texture Transmission Algorithm Combined with Texture Synthesis 20

The Research of Texture Transmission Algorithm Combined with...

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20th IEEE International conference on Computational Science and Engineering (CSE) / 15th IEEE/IFIP International conference on Embedded and Ubiquitous Computing (EUC)

作者： Sun, Xiaoting Sun, Yujuan Jian, Muwei Ludong Univ Coll Informat & Elect Engn Yantai Peoples R China Shandong Univ Finance & Econ Sch Comp Sci & Technol Jinan Shandong Peoples R China

ISBN: (纸本)9781538632215

Texture synthesis is the hot research topic in the field of computer vision, computer graphics and image processing. Sample-based texture synthesis method has been proposed and becomes a new texture tiling technique with the development of the texture mapping and procedural texture synthesis. image Quilting stitching algorithm is an ideal algorithm for the texture stitching. In this article, by using the image Quilting algorithm to finish the texture transfer and stitch the objective texture image, whose texture style does not exist in the initial image. In experiments, by transferring the style of the human face image and character image respectively, verified the effectiveness of this proposed algorithm.

关键词： image quilting Texture synthesis Texture transmission

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Reconstruction of Sparse-View Tomography via Banded Matrices 10

Reconstruction of Sparse-View Tomography via Banded Matrices

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

作者： Prasad, T. Kumar, P. U. Praveen Sastry, C. S. Jampana, P. V. Indian Inst Technol Hyderabad Dept Math Hyderabad Telangana India Indian Inst Technol Hyderabad Dept Chem Engn Hyderabad Telangana India

ISBN: (纸本)9783319681245;9783319681238

Computed Tomography (CT) is one of the significant research areas in medical image analysis. One of the main aspects of CT that researchers remain focused, is on reducing the dosage as Xrays are generally harmful to human bodies. In order to reduce radiation dosage, compressed sensing (CS) based methodologies appear to be promising. the basic premise is that medical images have inherent sparsity in some transformation domain. As a result, CS provides the possibility of recovering a high quality image from fewer projection data. In general, the sensing matrix in CT is generated from Radon projections by appropriately sampling the radial and angular parameters. In our work, by restricting the number of such parameters, we generate an under-determined linear system involving projection (Radon) data and a sparse sensing matrix, bringing thereby the problem into CS framework. Among various recent solvers, the Split-Bregman iterative scheme has of late become popular due to its suitability for solving a wide variety of optimization problems. Intending to exploit the underlying structure of sensing matrix, the present work analyzes its properties and finds a banded structure for an associated intermediate matrix. Using this observation, we simplify the Split-Bregman solver, proposing thereby a CT-specific solver of low complexity. We also provide the efficacy of proposed method empirically.

关键词： Compressed sensing Split-Bregman Computed tomography Least squares

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Point-Cut: Interactive image Segmentation Using Point Supervision 13th

Point-Cut: Interactive Image Segmentation Using Point Superv...

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13th Asian conference on computer vision (ACCV)

作者： Oh, Changjae Ham, Bumsub Sohn, Kwanghoon Yonsei Univ Seoul South Korea

ISBN: (纸本)9783319541815;9783319541808

Interactive image segmentation is a fundamental task in many applications in graphics, image processing, and computational photography. Many leading methods formulate elaborated energy functionals, achieving high performance with reflecting human's intention. However, they show limitations in practical usage since user interaction is labor intensive to obtain segments efficiently. We present an interactive segmentation method to handle this problem. Our approach, called point cut, requires minimal point supervision only. To this end, we use off-the-shelf object proposal methods that generate object candidates with high recall. With the single point supervision, foreground appearance can be estimated with high accuracy, and then integrated into a graph cut optimization to generate binary segments. Intensive experiments show that our approach outperforms existing methods for interactive object segmentation both qualitatively and quantitatively.

关键词： image segmentation

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A Framework for an Accurate Point Cloud Based Registration of Full 3D Human Body Scans 15

A Framework for an Accurate Point Cloud Based Registration o...

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15th IAPR International conference on Machine vision Applications (MVA)

作者： Golyanik, Vladislav Reis, Gerd Taetz, Bertram Stricker, Didier Univ Kaiserslautern Dept Comp Sci Kaiserslautern Germany DFKI GmbH Dept Augmented Vis Saarbrucken Germany

ISBN: (纸本)9784901122160

Alignment of 3D human body scans is a challenging problem in computer vision with various applications. While being extensively studied for the mesh based case, it is still involved if scans lack topology. In this paper, we propose a practical solution to the point cloud based registration of 3D human scans and a 3D human template. We adopt recent advances in point set registration with prior matches and design a fully automated registration framework. Our framework consists of several steps including establishment of prior matches, alignment of point clouds into a common reference frame, global non-rigid registration, partial non-rigid registration, and a post-processing step. We can handle large point clouds with significant variations in appearance automatically and achieve high registration accuracy which is shown experimentally. Finally, we demonstrate a pipeline for treatment of social pathologies with animatable virtual avatars as an exemplary real-world application of the new framework. [graphics] .

关键词： three-dimensional displays image reconstruction Pipelines Foot Semantics Skeleton Topology

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Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy images: Automated Vessel Segmentation in Retinal Fundus image as Test Case 30

Generative Adversarial Learning for Reducing Manual Annotati...

引用

30th IEEE/CVF conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Lahiri, Avisek Ayush, Kumar Biswas, Prabir Kumar Mitra, Pabitra Indian Inst Technol Kharagpur 721302 W Bengal India

ISBN: (纸本)9781538607336

Convolutional Neural Network(CNN) based semantic segmentation require extensive pixel level manual annotation which is daunting for large microscopic images. the paper is aimed towards mitigating this labeling effort by leveraging the recent concept of generative adversarial network(GAN) wherein a generator maps latent noise space to realistic images while a discriminator differentiates between samples drawn from database and generator. We extend this concept to a multi task learning wherein a discriminator-classifier network differentiates between fake/real examples and also assigns correct class labels. though our concept is generic, we applied it for the challenging task of vessel segmentation in fundus images. We show that proposed method is more data efficient than a CNN. Specifically, with 150K, 30K and 15K training examples, proposed method achieves mean AUC of 0.962, 0.945 and 0.931 respectively, whereas the simple CNN achieves AUC of 0.960, 0.921 and 0.916 respectively.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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An image Analysis Approach for Transcription of Music Played on Keyboard-like Instruments 16

An Image Analysis Approach for Transcription of Music Played...

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

作者： Deb, Souvik Sinha Rajwade, Ajit Indian Inst Technol Bombay Maharashtra India

ISBN: (纸本)9781450347532

Music transcription refers to the process of analyzing a piece of music to generate a sequence of constituent notes and their duration. Transcription of music from audio signals is fraught with problems due to auditory interference such as ambient noise, multiple instruments playing simultaneously, accompanying vocals or polyphonic sounds. For several instruments, there exists added information for music transcription which can be derived from a video sequence of the instrument as it is being played. this paper proposes a method to utilize this visual information for the case of keyboard-like instruments to generate a transcript automatically, by analyzing the video frames. We present encouraging results under varying lighting conditions on different song sequences played out on a keyboard.

关键词： Music transcription computer vision Applications

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image Defencing via Signal Demixing 16

Image Defencing via Signal Demixing

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

作者： Kumar, Veepin Mukherjee, Jayanta Das Mandal, Shyamal Kumar Indian Inst Technol Ctr Educ Technol Kharagpur 721302 W Bengal India Indian Inst Technol Dept Comp Sci & Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781450347532

We present a novel algorithm to remove near regular, fence or wire like foreground patterns from an image. the fence detection or fence removal algorithms, developed so far, have poor performance in detecting the fence. We use signal demixing to utilize the sparsity and regularity property of fences to detect them. Results demonstrate the effectiveness of our technique as compared to other state of the art techniques.

关键词： Object detection fence removal image inpainting signal demixing

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image Hallucination at Different Times of Day Using Locally Affine Model and kNN Template Matching From Time-Lapse images 16

Image Hallucination at Different Times of Day Using Locally ...

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

作者： Patel, Nikunj Kataria, Tushar Indian Inst Technol Bombay Elect Engn Bombay Maharashtra India

ISBN: (纸本)9781450347532

image Hallucination has many applications in areas such as image processing, computational photography and image fusion. In this paper, we present an image Hallucination technique based on the template (patch) matching from the database of time lapse images and learned locally affine model. Template based techniques suffer from blocky artifacts. So, we propose two approaches for imposing consistency criteria across neighbouring patches in the form of regularization. We validate our Color transfer technique by hallucinating a variety of natural images at different times the day. We compare the proposed approach with other state of the art techniques of example image based color transfer and show that the images obtained using our approach look more plausible and natural.

关键词： image fusion

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