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检索条件"任意字段=8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012"

共 97 条记录，以下是31-40 订阅

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Towards Quantifying the Amount of Uncollected Garbage through image Analysis 16

Towards Quantifying the Amount of Uncollected Garbage throug...

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

作者： Suresh, Susheel Sharma, Tarun Prashanth, T. K. Subramaniam, V Sitaram, Dinkar Nirupama, M. PES Inst Technol Dept Comp Sci Bengaluru 560085 India

ISBN: (纸本)9781450347532

Civic authorities in many indian cities have a tough time in garbage collection and as a result there is a pile up of garbage in the cities. In order to manage the situation, it is first required to be able to quantify the issue. In this paper, we address the problem of quantification of garbage in a dump using a two step approach. In the first step, we build a mobile application that allows citizens to capture images of garbage and upload them to a server. In the second step, back-end performs analysis on these images to estimate the amount of garbage using computer vision techniques. Our approach to volume estimation uses multiple images of the same dump (provided by the mobile application) from different perspectives, segments the dump from the background, reconstructs a three dimensional view of the dump and then estimates its volume. Using our novel pipeline, our experiments indicate that with 8 different perspectives, we are able to achieve an accuracy of about 85 % for estimating the volume.

关键词： Automatic Segmentation and 3D Reconstruction Segmentation using Deep Learning Structure from Motion Volume Estimation of Garbage Dumps

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Heritage app: Annotating images on mobile phones 12

Heritage app: Annotating images on mobile phones

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Panda, Jayaguru Sharma, Shashank Jawahar, C.V. IIIT-Hyderabad India

ISBN: (纸本)9781450316606

In this paper, we demonstrate a computer vision application on mobile phones. One can take a picture at a heritage site/monument and obtain associated annotations on a mid-end mobile phone instantly. this does not require any communication of images or features with a remote server, and all the necessary computations take place on the phone itself. We demonstrate the app on two indian heritage sites: Golkonda Fort and Hampi Temples. Underlying our application, we have a Bag of visual Words (BoW) image retrieval system, and an annotated database of images. In the process of developing this mobile app, we extend the performance, scope and applicability of computer vision techniques: (i) we do a BoW-based image retrieval on mobile phones from a database of 10K images within 50 MB of storage and 10 MB of RAM. (ii) we introduce a vocabulary pruning method for reducing the vocabulary size. (iii) we design a simple method of database pruning, that helps in reducing the size of the inverted index by removing semantically similar images. In (ii) and (iii), we demonstrate how memory(RAM) and computational speed can be optimized without any loss in performance. © 2012 ACM.

关键词： image retrieval

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On the use of regions for semantic image segmentation 12

On the use of regions for semantic image segmentation

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Hu, Rui Larlus, Diane Csurka, Gabriela Centre for Vision Speech and Singal Processing University of Surrey Guildford Surrey United Kingdom Xerox Research Centre Meylan France

ISBN: (纸本)9781450316606

there is a general trend in recent methods to use image regions (i.e. super-pixels) obtained in an unsupervised way to enhance the semantic image segmentation task. this paper proposes a detailed study on the role and the benefit of using these regions, at different steps of the segmentation process. For the purpose of this benchmark, we propose a simple system for semantic segmentation that uses a hierarchy of regions. A patch based system with similar settings is compared, which allows us to evaluate the contribution of each component of the system. Both systems are evaluated on the standard MSRC-21 dataset and obtain competitive results. We show that the proposed region based system can achieve good results without any complex regularization, while its patch based counterpart becomes competitive when using image prior and regularization methods. the latter benefit more from a CRF based regularization, yielding to state-of-the-art results with simple constraints based only on the leaf regions exploited in the pairwise potential. © 2012 ACM.

关键词： Semantics

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Table detection in document images using header and trailer patterns 12

Table detection in document images using header and trailer ...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Harit, Gaurav Bansal, Anukriti Indian Institute of Technology Jodhpur Rajasthan India

ISBN: (纸本)9781450316606

this paper presents a new approach to detect tabular structures present in document images and in low resolution video images. the algorithm for table detection is based on identifying the unique table start pattern and table trailer pattern. We have formulated perceptual attributes to characterize the patterns. the performance of our table detection system is tested on a set of document images picked from UW-III (University of Washington) dataset, UNLV dataset, video images of NPTEL videos, and our own dataset. Our approach demonstrates improved detection for different types of table layouts, with or without ruling lines. We have obtained correct table localization on pages with multiple tables aligned side-by-side. © 2012 ACM.

关键词： Light trailers

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Salient object detection using a fuzzy theoretic approach 12

Salient object detection using a fuzzy theoretic approach

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Kapoor, Aditi Biswas, K.K. Hanmandlu, M. Amar Nath and Shashi Khosla School of Information Technology Indian Institute of Technology Delhi Hauz Khas New Delhi - 110016 India Department of Computer Science and Engineering Indian Institute of Technology Delhi Hauz Khas New Delhi - 110016 India Department of Electrical Engineering Indian Institute of Technology Delhi Hauz Khas New Delhi - 110016 India

ISBN: (纸本)9781450316606

Color is the most dominant feature used by the human brain to perceive an image region to be salient. Since size, shape, location and colors of salient objects vary widely, a fuzzy rule based system is proposed in this paper which uses color proximity, color spread, connected components and presence of a face as linguistic variables. these rules are learned using a genetic algorithm. the colorspace used is the CIELab colorspace which closely conforms with human perception of colors. A publicly available image dataset is used for training and testing the system. Comparisons with existing state-of-the-art methods in terms of precision, recall and F-Measure have been presented. © 2012 ACM.

关键词： Color

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Super resolution via sparse representation in l1 framework 12

Super resolution via sparse representation in l1 framework

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Sudarshan, S. Babu, R. Venkatesh Indian Institute of Technology Hyderabad India Video Analytics Lab. SERC Indian Institute of Science Bangalore India

ISBN: (纸本)9781450316606

this paper proposes a new high speed Single image Super Resolution algorithm and also suggests modifications that can perform super resolution on video sequences. Embarking from recent successful algorithms proposed by Yang et. al.[18] and Elad et. al.[19], it adds a number of enhancements that improve both PSNR of the recovered image and performance of the dictionary training. It also proposes an incremental dictionary update strategy that enhances results on video sequences by improving the dictionary quality at each frame. the algorithm does not necessarily need a training image set, though it can use one to enhance PSNR of the upscaled image. It automatically picks the patches that would benefit from super resolution, ignoring others, thus enhancing speed. It also partially accounts for spatial transformations of patches in the trained dictionary, further enhancing performance. © 2012 ACM.

关键词： image enhancement

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A grammar-based GUI for single view reconstruction 12

A grammar-based GUI for single view reconstruction

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Khurana, Dakshita Sankhla, Surabhi Shukla, Abhinav Varshney, Richa Kalra, Prem Banerjee, Subhashis Indian Institute of Technology Delhi Hauz Khas New Delhi India

ISBN: (纸本)9781450316606

this paper presents a novel grammar-based GUI with an integrated back-end engine that enables accurate single view reconstruction with minimum supplementary information from the user. Our grammar allows a dynamic symbolic capture of constraints, which can be solved together in the end to eliminate incremental errors. this approach focuses on the simultaneous reconstruction of connected faces minimizing least square error, as opposed to a piece-wise approach where error keeps building up at every stage. We demonstrate how our Graphical User Interface is usable even by a layman to generate 3D models with negligible error. © 2012 ACM.

关键词： Graphical user interfaces

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Local appearance based robust tracking via sparse representation 12

Local appearance based robust tracking via sparse representa...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Ruchandani, Avinash Babu, R. Venkatesh Indian Institute of Technology Kharagpur West Bengal India Video Analytics Lab. SERC Indian Institute of Science Bangalore Karnataka India

ISBN: (纸本)9781450316606

Visual tracking is an important task in many computer vision applications. In this paper, we present a novel approach for visual tracking using a local sparse appearance model that exploits spatial information. the sparse information along with the spatial information of local patches within this representation is used to determine the motion of the object. When the match between the target and candidate patches are represented in matrix form, the translation motion of the object can be obtained by analyzing the diagonals of the mapping matrix. A novel local template update strategy is proposed to update the relevant parts of the object within the candidate undergoing changes. Along with the local patch update, we use an adaptive/permanent template update strategy which gives less update priority to the transient local patches accounting for partial occlusion. this approach performs comparably against state-of-the-art tracking techniques, in various challenging videos involving changes in scale, pose, illumination and partial occlusion. the proposed approach tracks at a processing speed of over 40 frames per second and it is suitable for various real-time applications. © 2012 ACM.

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A non-local MRF model for heritage architectural image completion 12

A non-local MRF model for heritage architectural image compl...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Gupta, Deepan Chhajer, Vaidehi Mishra, Anand Jawahar, C.V. Center for Visual Information Technology IIIT Hyderabad India

ISBN: (纸本)9781450316606

MRF models have shown state-of-the-art performance for many computer vision tasks. In this work, we propose a non-local MRF model for image completion problem. the goal of image completion is to fill user specified "target" region with patches of "source" regions in a way that is visually plausible to an observer. We represent the patches in the target region of the image as random variables in an MRF, and introduce a novel energy function on these variables. Each variable takes a label from a label set which is a collection of patches of the source region. the quality of the image completion is determined by the value of the energy function. the non-locality in the MRF is achieved through long range pairwise potentials. these long range pairwise potentials are defined to capture the inherent repeating patterns present in heritage architectural images. We minimize this energy function using Belief Propagation to obtain globally optimal image completion. We have tested our method on a wide variety of images and shown superior performance over previously published results for this task. © 2012 ACM.

关键词： Belief propagation

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Haptic rendering of variable density point cloud through local kernel bandwidth estimation 12

Haptic rendering of variable density point cloud through loc...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Sreeni, K.G. Chaudhuri, Subhasis Vision and Image Processing Laboratory Department of Electrical Engineering Indian Institute of Technology Bombay Powai Mumbai 400076 India

ISBN: (纸本)9781450316606

Haptic rendering of a point cloud data without a precomputed mesh structure is always a difficult problem. this paper tries to solve the problem of real time rendering a variable density 3D point cloud data as an optimization problem with a local kernel bandwidth estimation. In order to avoid the ambiguity of deciding the direction of reaction force while rendering the data we prefer a proxy based renderer. To avoid the proxy sinking into the object during collision the proxy point is always kept at minimum distance away from the object surface approximated by the point cloud. this minimum distance is computed during the rendering process depending on the local density of the points in the data using the kernel bandwidth estimation. Once collision is detected, we minimize a cost function depending on the current haptic interaction point (HIP) and proxy positions and find a new goal position for the proxy corresponding to the local minimum of the cost function. We validate the proposed technique by comparing the rendered force with the reaction force computed using a known spherical object. © 2012 ACM.

关键词： Cost functions

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