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检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing"

共 2008 条记录，以下是301-310 订阅

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Combining Diagrammatic Reasoning with Qualitative Spatial and Temporal Reasoning for Motion Event Detection 5

Combining Diagrammatic Reasoning with Qualitative Spatial an...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Nath, Chayanika D. Hazarika, Shyamanta M. Tezpur Univ Sch Engn Biomimet & Cognit Robot Lab Comp Sci & Engn Tezpur 784028 India

ISBN: (纸本)9781467385640

Everyday spatio-temporal reasoning is driven through qualitative abstractions over mental maps or 'diagrams'. Diagrammatic reasoning involves direct manipulation and inspection of diagrams as the primary means of inference. Diagrammatic representation offer computational advantage in problems where spatial relationships play a prominent role. In video, objects change spatial relationships over time. therefore, combining diagrammatic reasoning with qualitative spatial and temporal reasoning holds promise. In this paper, we put forward a framework combining diagrammatic representation with qualitative spatial and temporal reasoning for motion event detection in video. Key frames with tracked objects for a given video are extracted. these frames in forward moving time are represented using specified;'diagrams'. A set of perception function is defined exploiting results from diagrammatic reasoning and qualitative spatial and temporal reasoning for determining spatial relations between objects of interest. Inter diagrammatic reasoning operator is used to combine sequence of diagrams for extracting spatio-temporal changes. Diagram modification function is defined exploiting results from qualitative reasoning to extract directional information. Considering extracted relative position and relative direction of displacement as features, we use supervised machine learning techniques to recognize motion events in video. the approach is tested in videos with few people/groups meeting, walking together and splitting up/fighting from the CAVIAR dataset.

关键词： Graphic methods

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Assisting the Autistic with improved Facial Expression Recognition from mixed expressions

Assisting the Autistic with improved Facial Expression Recog...

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4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Ahmed, Washef Chanda, Kunal Mitra, Soma Mazumdar, Debasis Ctr Dev Adv Comp Adv Signal Proc Grp Kolkata India

ISBN: (纸本)9781479915880

People suffering from autism have difficulty with recognizing other people's emotions and are therefore unable to react to it. Although there have been attempts aimed at developing a system for analyzing facial expressions for persons suffering from autism, very little has been explored for capturing one or more expressions from mixed expressions which are a mixture of two closely related expressions. this is essential for psychotherapeutic tool for analysis during counseling. this paper presents the idea of improving the recognition accuracy of one or more of the six prototypic expressions namely happiness, surprise, fear, disgust, sadness and anger from the mixture of two facial expressions. For this purpose a motion gradient based optical flow for muscle movement is computed between frames of a given video sequence. the computed optical flow is further used to generate feature vector as the signature of six basic prototypic expressions. Decision Tree generated rule base is used for clustering the feature vectors obtained in the video sequence and the result of clustering is used for recognition of expressions. the relative intensity of expressions for a given face present in a frame is measured. With the introduction of Component Based Analysis which is basically computing the feature vectors on the proposed regions of interest on a face, considerable improvement has been noticed regarding recognition of one or more expressions. the results have been validated against human judgement.

关键词： Human computer Interaction Facial Expression Analysis mixed expressions Component Based Analysis quantification of score human psycho-visual judgement social interactions autism

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A Fast Method for Very Low Bit-Rate Coding of Hyperspectral images 11

A Fast Method for Very Low Bit-Rate Coding of Hyperspectral ...

引用

11th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Kumar, Saurabh Chaudhuri, Subhasis Indian Inst Technol Mumbai Maharashtra India

ISBN: (纸本)9781450366151

In this work, we propose a computationally efficient compressive sensing based approach for very low bit rate lossy coding of hyperspectral (HS) image data by exploiting the redundancy inherent in this imaging modality. We divide the HS datacube into subsets of adjacent bands, each of which is encoded into a coded snapshot using a random code matrix. these coded snapshot images are encoded using the wavelet-based SPIHT compression technique. the decompression from the coded snapshots at the receiver is done using the orthogonal matching pursuit with the help of an overcomplete dictionary learned on a general purpose training dataset. We provide ample experimental results and performance comparisons to substantiate the usefulness of the proposed method. In the proposed technique the encoder is free from any decoder and it offers a significant saving in computation and yet yields a much higher compression quality.

关键词： image coding

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How Much Can A Gaussian Smoother Denoise? 16

How Much Can A Gaussian Smoother Denoise?

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

作者： Gubbi, Sagar Venkatesh Gupta, Ashutosh Seelamantula, Chandra Sekhar Indian Inst Sci Dept Elect Commun Engn Bangalore 560012 Karnataka India Indian Space Res Org Ahmadabad 380058 Gujarat India Indian Inst Sci Dept Elect Engn Bangalore 560012 Karnataka India

ISBN: (纸本)9781450347532

Recently, a suite of increasingly sophisticated methods have been developed to suppress additive noise from images. Most of these methods take advantage of sparsity of the underlying signal in a specific transform domain to achieve good visual or quantitative results. these methods apply relatively complex statistical modelling techniques to bifurcate the noise from the signal. In this paper, we demonstrate that a spatially adaptive Gaussian smoother could be a very effective solution to the image denoising problem. To derive the optimal parameter estimates for the Gaussian smoothening kernel, we derive and deploy a surrogate of the mean squared error (MSE) risk similar to the Stein's estimator for Gaussian distributed noise. However, unlike the Stein's estimator or its counterparts for other noise distributions, the proposed generic risk estimator (GenRE) uses only first- and second-order moments of the noise distribution and is agnostic to the exact form of the noise distribution. By locally adapting the parameters of the Gaussian smoother, we obtain a denoising function that has a denoising performance (quantified by the peak signal-to-noise ratio (PSNR)) that is competitive to far more sophisticated methods reported in the literature. To avail the parallelism offered by the proposed method, we also provide a graphics processing unit (GPU) based implementation.

关键词： image denoising Gaussian smoothing Stein's lemma generic risk estimation spatially varying smoothers graphics processing unit (GPU)

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Multi-slice Tomographic Reconstruction: To Couple or Not to Couple 16

Multi-slice Tomographic Reconstruction: To Couple or Not to ...

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

作者： Gopal, Preeti Chandran, Sharat Svalbe, Imants Rajwade, Ajit Indian Inst Technol Dept Comp ViGIL Bombay Maharashtra India IITB Monash Res Acad Bombay Maharashtra India Monash Univ Dept Phys & Astron Clayton Vic Australia

ISBN: (纸本)9781450347532

Recent work in tomography focuses on algorithms that enable faster and more accurate reconstruction from as few measurements as possible. We review the advantage of jointly reconstructing multiple slices and show that joint reconstruction may suffer in the presence of adjacent dissimilar slices. this gives rise to the need to detect similarity or dissimilarity of unknown images before performing joint reconstruction. We propose a method to detect 'similar' slices directly from their tomographic measurements and juxtapose these similar slices. Since the images themselves are not available by definition, we compute similarity between slices based on image moments;these in turn are estimated in a novel way from Radon projection moments. A segmented least squares algorithm is then designed to couple only similar slices. Our results confirm the benefit of this method for tomographic reconstruction.

关键词： Compressive sensing Radon projection moments image moments tomographic reconstruction

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Deep image Inpainting with Region Prediction at Hierarchical Scales 16

Deep Image Inpainting with Region Prediction at Hierarchical...

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

作者： Chakraborty, Souradeep Kundu, Jogendra Nath Babu, R. Venkatesh Indian Inst Sci Dept Computat & Data Sci Bangalore Karnataka India

ISBN: (纸本)9781450347532

In this paper, we propose a CNN based method for image inpainting, which utilizes the inpaintings generated at different hierarchical resolutions. Firstly, we begin with the prediction of the missing image region with larger contextual information at the lowest resolution using deconv layers. Next, we refine the predicted region at greater hierarchical scales by imposing gradually reduced contextual information surrounding the predicted region by training different CNNs. thus, our method not only utilizes information from different hierarchical resolutions but also intelligently leverages the context information at different hierarchy to produce better inpainted image. the individual models are trained jointly, using loss functions placed at intermediate layers. Finally, the CNN generated image region is sharpened using the unsharp masking operation, followed by intensity matching with the contextual region, to produce visually consistent and appealing inpaintings with more prominent edges. Comparison of our method with well-known inpainting methods, on the Caltech 101 objects dataset, demonstrates the quantitative and qualitative strengths of our method over the others.

关键词： image inpainting context hierarchical scales image sharpening intensity matching

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A Fast Identity-Independent Expression Recognition System for Robust Cartoonification using Smart Devices 16

A Fast Identity-Independent Expression Recognition System fo...

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

作者： Agarwal, Gorisha Garg, Ronak Garg, Divya Prasad, Bikash Dutta, Tanima Gupta, Hari Prabhat Indian Inst Technol BHU Varanasi Varanasi Uttar Pradesh India

ISBN: (纸本)9781450347532

Facial expressions convey rich information about emotions, intentions and other internal states of a person. Automatic facial expression and cartoonification systems are aiming towards the application of computer vision systems in human computer interaction, emotion analysis, medical care, virtual learning and even entertainment. In this paper, we propose an identity-independent robust system to detect human expression and generate their corresponding cartoonified images in real-time using smart-devices. Identity-independent expression recognition system enhances the facial features of query face image using its intra-class variation image and classifies using support vector machines. the method is robust to variation in identity and illumination of the query face image. Along with the basic expressions, like angry, happy and sad, we have also successfully detected the emotional states of sleepy and pain. the experimental results on JAFFE, CK+, PICS, Yalefaces, and Senthil databases show the effectiveness of the system.

关键词： Emotion recognition facial expressions Cartoonification Human computer interaction Augumented reality

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A Tensor-based Technique for Structure-aware image Inpainting 6

A Tensor-based Technique for Structure-aware Image Inpaintin...

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6th International conference on Pattern Recognition Applications and Methods (ICPRAM)

作者： Akl, Adib Yaacoub, Charles Holy Spirit Univ Kaslik USEK Fac Engn Jounieh Lebanon

ISBN: (纸本)9789897582226

image inpainting is an active area of study in computer graphics, computer vision and image processing. Different image inpainting algorithms have been recently proposed. Most of them have shown their efficiency with different image types. However, failure cases still exist, especially when dealing with local image variations. this paper presents an image inpainting approach based on structure layer modeling, where this latter is represented by the second-moment matrix, also known as the structure tensor. the structure layer of the image is first inpainted using the non-parametric synthesis algorithm of Wei and Levoy, then the inpainted field of second-moment matrices is used to constrain the inpainting of the image itself. Results show that using the structural information, relevant local patterns can be better inpainted comparing to the standard intensity-based approach.

关键词： image Inpainting Orientation Second-moment Matrix Exemplar

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Automatic Video Matting through Scribble Propagation 16

Automatic Video Matting through Scribble Propagation

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

作者： Sonane, Bhoomika Ramakrishnan, Sainandan Raman, Shanmuganathan IIT Gandhinagar Ahmadabad Gujarat India VJTI Bombay Maharashtra India

ISBN: (纸本)9781450347532

Video matting is an extension of image matting and is used to extract the foreground matte from an arbitrary background of every frame in a video sequence. An automatic scribbling approach based on the relative motion of the foreground object with respect to the background in a video is introduced for video matting. the proposed scribble propagation and the subsequent isolation of foreground and background is much more intuitive than the conventional trimap propagation approach used for video matting. Alpha maps are propagated according to the optical flow estimated from the consecutive frames to get a preliminary estimate of the foreground and background in the following frame. Accurate scribbles are placed near the boundary of the foreground region for re fining the scribbled image with the help of morphological operations. We show that a high quality matte of foreground object can be obtained using a state-of-the-art image matting technique. We show that the results obtained using the proposed method are accurate and comparable with that of other state-of-the-art video matting techniques.

关键词： Video matting Optical flow Computational photography

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Ghosting Free HDR for Dynamic Scenes via Shift-maps 16

Ghosting Free HDR for Dynamic Scenes via Shift-maps

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

作者： Prabhakar, K. Ram Babu, R. Venkatesh Indian Inst Sci Dept Computat & Data Sci Bangalore Karnataka India

ISBN: (纸本)9781450347532

Given a set of sequential exposures, High Dynamic Range imaging is a popular method for obtaining high-quality images for fairly static scenes. However, this typically suffers from ghosting artifacts for scenes with significant motion. Also, existing techniques cannot handle heavily saturated regions in the sequence. In this paper, we propose an approach that handles both the issues mentioned above. We achieve robustness to motion (both object and camera) and saturation via an energy minimization formulation with spatio-temporal constraints. the proposed approach leverages information from the neighborhood of heavily saturated regions to correct such regions. the experimental results demonstrate the superiority of our method over state-of-the-art techniques for a variety of challenging dynamic scenes.

关键词： Exposure Fusion High Dynamic Range imaging

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