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

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Audio-Visual Person Authentication with Multiple Visualized-Speech Features and Multiple Face Profiles

Audio-Visual Person Authentication with Multiple Visualized-...

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Amitava Das Ohil K. Manyam Makarand Tapaswi Microsoft Research India India

We present an Audio-visual person authentication system which extracts several novel ldquovisualized-speech-featuresrdquo (VSF) from the spoken-password and multiple face profiles using a simple user-interface and combine these features to deliver high performance and resilience against imposter attacks. The spoken password is converted to a string of images formed by several visualized speech features. A compressed form of these VSFs preserves speaker identity in a compact manner. Simulation results on an in-house 210-user AV-user-ID database collected with wide variations of users in real-life office environments demonstrate separable distributions of client and imposter scores (0% EER), while offering low storage and computational complexities compared to conventional AV user-recognition methods.

关键词： Authentication Visualization Resilience image converters Speech image coding Computational modeling image databases Spatial databases Visual databases

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Off-line skilled forgery detection on handwritten Devanagri script

Off-line skilled forgery detection on handwritten Devanagri ...

引用

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

作者： Nivedita Yadav Santanu Chaudhury Prem Kalra Amarnath and Shashi Khosla School of IT Indian Institute of Technology Delhi India Dept of Electrical Engineering Indian Institute of Technology Delhi India Dept of Computer Science and Engineering Indian Institute of Technology Delhi India

This paper is aimed at exploring the potential of using discriminatory primitives containing words for the task of detecting skilled forgeries. We consider handwritten Devanagri documents for this work. We have obtained experimental handwriting data from subjects who have contributed handwriting samples in their natural handwriting. Other authors are asked to imitate the writing style of the subjects to produce a skilled forgery sample. Most of the literature dealing with writer recognition focus on signatures and very few reports have addressed the problem of detecting forgeries for handwritten indian scripts. We also use multiple words based classification for the targeted task of forgery detection. Our experiments show encouraging results.

关键词： Forgery Shape Feature extraction Histograms Forensics Accuracy Writing

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Spectrum-inspired Low-light image Translation for Saliency Detection 13

Spectrum-inspired Low-light Image Translation for Saliency D...

引用

13th indian conference on computer vision, graphics, and image processing, ICVGIP 2022

作者： Varghese, Kitty Rajagopalan, Sudarshan Lamba, Mohit Mitra, Kaushik Indian Institute of Technology Madras India

ISBN: (纸本)9781450398237

Saliency detection methods are central to several real-world applications such as robot navigation and satellite imagery. However, the performance of existing methods deteriorate under low-light conditions because training datasets mostly comprise of well-lit images. One possible solution is to collect a new dataset for low-light conditions. This involves pixel-level annotations, which is not only tedious and time-consuming but also infeasible if a huge training corpus is required. We propose a technique that performs classical band-pass filtering in the Fourier space to transform well-lit images to low-light images and use them as a proxy for real low-light images. Unlike popular deep learning approaches which require learning thousands of parameters and enormous amounts of training data, the proposed transformation is fast and simple and easy to extend to other tasks such as low-light depth estimation. Our experiments show that the state-of-The-Art saliency detection and depth estimation networks trained on our proxy low-light images perform significantly better on real low-light images than networks trained using existing strategies. © 2022 ACM.

关键词： Satellite imagery

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Object Category Recognition with Projected Texture

Object Category Recognition with Projected Texture

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Avinash Sharma Anoop Namboodiri International Institute of Information Technology Center for Visual Information Technology Hyderabad India

Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to lack of depth information of the object. Recovering the depth information from multiple images or from image cues such as variations in illumination or focus, is both computationally intensive and error prone. In contrast, the appearance based approaches are more robust and computationally efficient. However, they lack the potential accuracy of 3D feature based approaches due to the lack of shape information. We propose the use of structured lighting patterns projected on the object, which gets deformed according to the shape of the object for recognition. Since our goal is object classification and not shape recovery, we characterize the deformations using simple texture measures, thus avoiding depth recovery step. Moreover, the shape information present in the deformations is implicitly used for classification. We show that the information thus derived can significantly improve the accuracy of object category recognition from arbitrary-pose images.

关键词： Robustness image recognition Lighting Focusing Information technology Pattern recognition Shape measurement Cameras Object recognition computer vision

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Degraded Document image Enhancement Using Hybrid Thresholding and Mathematical Morphology

Degraded Document Image Enhancement Using Hybrid Thresholdin...

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Nija Babu Preethi N.G. S.S. Shylaja Department of Computer Science and Engineering PES Institute of Technology Bangalore India Dept. of Inf. Sci. & Eng. PES Inst. of Technol. Bangalore

The paper presents a hybrid thresholding approach for binarization and enhancement of degraded documents. Historical documents contain information of great cultural and scientific value. But such documents are frequently degraded over time. Digitized degraded documents require specialized processing to remove different kinds of noise and to improve readability. The approach for enhancing degraded documents uses a combination of two thresholding algorithms. First, iterative global thresholding is applied to the smoothed degraded image until the stopping criteria is reached. Then a threshold selection method from gray level histogram is used to binarize the image. The next step is detecting areas where noise still remains and applying iterative thresholding locally. A method to improve the quality of textual information in the document is also done as a post processing stage, thus making the approach efficient and better suited for character recognition applications.

关键词： Degradation image enhancement Morphology Iterative algorithms Paper technology Histograms Pixel computer science Character recognition Ink

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ViLP: Knowledge Exploration using vision, Language, and Pose Embeddings for Video Action Recognition 23

ViLP: Knowledge Exploration using Vision, Language, and Pose...

引用

proceedings of the fourteenth indian conference on computer vision, graphics and image processing

作者： Soumyabrata Chaudhuri Saumik Bhattacharya IIT Bhubaneswar IN E&ECE Indian Institute of Technology Kharagpur IN

ISBN: (纸本)9798400716256

Video Action Recognition (VAR) is a challenging task due to its inherent complexities. Though different approaches have been explored in the literature, designing a unified framework to recognize a large number of human actions is still a challenging problem. Recently, Multi-Modal Learning (MML) has demonstrated promising results in this domain. In literature, 2D skeleton or pose modality has often been used for this task, either independently or in conjunction with the visual information (RGB modality) present in videos. However, the combination of pose, visual information, and text attributes has not been explored yet, though text and pose attributes independently have been proven to be effective in numerous computer vision tasks. In this paper, we present the first pose augmented vision-language model (VLM) for VAR. Notably, our scheme achieves an accuracy of 92.81% and 73.02% on two popular human video action recognition benchmark datasets, UCF-101 and HMDB-51, respectively, even without any video data pre-training, and an accuracy of 96.11% and 75.75% after kinetics pre-training.

关键词： Action recognition vision-language model multimodal training

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Face Expression Recognition through Broken Symmetries

Face Expression Recognition through Broken Symmetries

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Vito Di Gesù Bertrand Zavidovique Marco Elio Tabacchi CITC - Università degli Studi di Palermo Italy IEF - University of Paris Sud XI France DMA - Università degli Studi di Palermo E Istituto Nazionale di Ricerche Demopolis Italy

Security systems, criminology, physical access control and man-machine interactions are examples of applications where recognition of human faces may be crucial. In the present paper a new signature, based on a measure of axial symmetry called DST, is proposed as a significant feature to analyze facial expressions. The measure of symmetry is an elaborate difference between the internal and external symmetry kernels of an object. The idea here is to use the evolution of the symmetry measure of a face over an ordered set of its sub-images. We claim that different evolutionary trends will represent different face expressions. The proposed signature has been tested on several face databases (psychological image collection at stirling and jaffe). Experimental results indicate that the proposed signature characterizes normal from happy expression with a good accuracy.

关键词： Face recognition Face detection Humans Kernel Psychology computer vision image recognition Man machine systems Application software Muscles

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Automatic synthesis of boolean expression and error detection from logic circuit sketches 6th

Automatic synthesis of boolean expression and error detectio...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Dhiman, Sahil Garg, Pushpinder Sharma, Divya Chattopadhyay, Chiranjoy Indian Institute of Technology Jodhpur JodhpurRajasthan India

ISBN: (纸本)9789811300196

Automatic techniques to recognize and evaluate digital logic circuits are more efficient and require less human intervention, as compared to, traditional pen and paper methods. In this paper, we propose LEONARDO (Logic Expression fOrmatioN And eRror Detection framewOrk), a hierarchical approach to recognize boolean expression from hand drawn digital logic gate diagram. The key contributions in the proposed approach are: (i) a novel hierarchical framework to synthesize boolean expression from a hand drawn logic circuit diagram;and (ii) identification of anomalies in drawing. Extensive experimentation was performed through qualitative and quantitative analysis. Results were also compared with existing techniques proposed on the similar problem. Upon experimentation and analysis, our system proved to be more robust to user variability in design and yielded an accuracy of 95.2 %, which is a 4 % gain over others. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Error detection

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An OCR system for the Meetei Mayek script

An OCR system for the Meetei Mayek script

引用

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

作者： Subhankar Ghosh Ujjwol Barman P. K. Bora Tourangbam Harishore Singh B. B. Chaudhuri Department of EEE Indian Institute of Technology Guwahati Assam India Department of ECE National Institute of Technology Imphal Manipur India CVPR Unit Indian Statistical Institute Kolkata WB India

This paper presents an implementation of an OCR system for the Meetei Mayek script. The script has been newly reintroduced and there is a growing set of documents currently available in this script. Our system accepts an image of the textual portion of a page and outputs the text in the Unicode format. It incorporates preprocessing, segmentation and classification stages. However, no post-processing is done to the output. The system achieves an accuracy of about 96% on a moderate database.

关键词： Databases Accuracy Training Character recognition Handwriting recognition conferences

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Regularization of Incompletely, Irregularly and Randomly Sampled Data

Regularization of Incompletely, Irregularly and Randomly Sam...

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： C.S. Sastry IT Bhawan GEC Ranjhi PDPM Indian Institute of Information Technology Jabalpur Madhya Pradesh India

In several scientific areas, data are sampled irregularly and insufficiently due to practical and economical limitations. The use of such data in applications results in some artifacts and poor spatial resolution. Therefore, before being used, the data are to be interpolated onto a regular grid. One of the methods achieving this objective is based on the Fourier reconstruction, which deals with the under-determined system of equations. The Stagewise Orthogonal Matching Pursuit (StOMP) is a recently proposed greedy algorithm. Compared to the other recent algorithms like l 1 - minimization techniques, StOMP admits certain promising features such as faster and simpler implementation even in large scale settings. The present work applies StOMP to the Fourier-based interpolation problem for the signals that have sparse Fourier spectra. The basic objective is to verify empirically the performance of the algorithm if, and how far, the measurement coordinates can be shifted from uniform distribution on the continuous interval. Taking kurtosis as a quantifier for the deviation of distribution from being uniform, we show numerically that the measurement coordinates can be significantly shifted from uniform distribution.

关键词： Matching pursuit algorithms Signal processing algorithms Interpolation Coordinate measuring machines Geophysical measurements image reconstruction Equations Large-scale systems Seismic measurements computer vision

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