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Recent Trends in image processing and Pattern Recognition 1

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丛书名： Communications in computer and Information Science

1000年

作者： KC Santosh Aaisha Makkar Myra Conway Ashutosh K. Singh Antoine Vacavant Anas Abou el Kalam Mohamed-Rafik Bouguelia Ravindra Hegadi

ISBN: (数字)9783031530852

ISBN: (纸本)9783031530845

this book constitutes the refereed proceedings of the 6th International conference on Recent Trends in image processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota.;the 62 full papers included in this book were carefully reviewed and selected from 216 submissions. the papers are organized in the following topical sections:;Volume I:;Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications.;Volume II:;Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence computer System Implementation computer Applications

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A finite mixture model based on pair-copula construction of multivariate distributions and its application to color image segmentation 12

A finite mixture model based on pair-copula construction of ...

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

作者： Roy, Anandarup Parui, Swapan K. Roy, Utpal CVPR Unit Indian Statistical Institute 203 B. T. Road Kolkata - 108 India Dept. of Comp. and System Sc. Visva-Bharati University Santiniketan- 731235 India

ISBN: (纸本)9781450316606

this paper presents a finite mixture model that involves a pair-copula based construction of a multivariate distribution. the advantage of such a model is that the margins and the dependence structures are de-coupled from each other. Also, they could be modeled separately. In effect the mixture model (called DVMM) is capable of capturing a broader family of distributions including non-Gaussian models. As an application, we consider the task of color image segmentation in CIE-LUV color space. the process of segmentation could be viewed as an unsupervised clustering of the image pixels. the clusters usually represent the possible segments in the image. Here, the image pixels are assumed to be samples from a DVMM. the expectation maximization algorithm is used to estimate the model parameters. One cluster generally consists of several connected components inside an image. We further note the existence of redundant connected components that represent the boundary of two adjacent components. We here propose a methodology that merges such component pixels to the other two components. We conduct extensive experiments on Berkeley segmentation data set. We take a number of error measures to evaluate the quality of segmentation. On the basis of a comparison with two existing mixture model based segmentation approaches, we find our results encouraging. © 2012 ACM.

关键词： Pixels

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ContextCLIP: Contextual Alignment of image-Text pairs on CLIP visual representations 13

ContextCLIP: Contextual Alignment of Image-Text pairs on CLI...

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

作者： Grover, Chanda Mastan, Indra Deep Gupta, Debayan Ashoka University Sonipat Haryana India Rajasthan Jaipur India

ISBN: (纸本)9781450398237

State-of-the-Art empirical work has shown that visual representations learned by deep neural networks are robust in nature and capable of performing classification tasks on diverse datasets. For example, CLIP demonstrated zero-shot transfer performance on multiple datasets for classification tasks in a joint embedding space of image and text pairs. However, it showed negative transfer performance on standard datasets, e.g., BirdsNAP, RESISC45, and MNIST. In this paper, we propose ContextCLIP, a contextual and contrastive learning framework for the contextual alignment of image-Text pairs by learning robust visual representations on Conceptual Captions dataset. Our framework was observed to improve the image-Text alignment by aligning text and image representations contextually in the joint embedding space. ContextCLIP showed good qualitative performance for text-To-image retrieval tasks and enhanced classification accuracy. We evaluated our model quantitatively with zero-shot transfer and fine-Tuning experiments on CIFAR-10, CIFAR-100, Birdsnap, RESISC45, and MNIST datasets for classification task. © 2022 ACM.

关键词： Embeddings

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REF-SHARP: REFined face and geometry reconstruction of people in loose clothingg± 13

REF-SHARP: REFined face and geometry reconstruction of peopl...

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

作者： Routhu, Snehith Goud Sagar, Sai Sharma, Avinash IIIT Hyderabad India

ISBN: (纸本)9781450398237

In this paper, we address the problem of monocular 3D human reconstruction with an acute focus on the challenge of recovering person-specific facial geometry as well as suppressing surface noise, specifically addressing the issue of false geometrical variations caused by textural edges. Most of the existing state-of-the-art methods in this domain fail to address these challenges. More specifically, we propose to integrate facial and wrinkle map priors in a learning-based framework to improve the quality of full-body 3D reconstruction from monocular images. By incorporating facial prior, we recover person-specific identity unlike many of the existing methods which rely on parametric shape models. Similarly, the wrinkle map prior enables our network to alleviate the challenge of false geometrical variations caused by high-frequency textural details present in the input image. We evaluate our method on publicly available datasets & in-the-wild internet images with loose clothing and report superior performance both qualitatively and quantitatively when compared with SOTA methods. © 2022 ACM.

关键词： image reconstruction

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Visual odometry based omni-directional hyperlapse 6th

Visual odometry based omni-directional hyperlapse

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

作者： Rani, Prachi Jangid, Arpit Namboodiri, Vinay P. Venkatesh, K.S. Department of Elecrical Engineering Indian Institute of Technology Kanpur Kanpur India Computer Science and Engineering Department Indian Institute of Technology Kanpur Kanpur India

ISBN: (纸本)9789811300196

the prohibitive amounts of time required to review the large amounts of data captured by surveillance and other cameras has brought into question the very utility of large scale video logging. Yet, one recognizes that such logging and analysis are indispensable to security applications. the only way out of this paradox is to devise expedited browsing, by the creation of hyperlapse. We address the hyperlapse problem for the very challenging category of intensive egomotion which makes the hyperlapse highly jerky. We propose an economical approach for trajectory estimation based on Visual Odometry and implement cost functions to penalize pose and path deviations. Also, this is implemented on data taken by omni-directional camera, so that the viewer can opt to observe any direction while browsing. this requires many innovations, including handling the massive radial distortions and implementing scene stabilization that need to be operated upon the least distorted region of the omni view. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Cost functions

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Recognizing facial expressions in the orthogonal complement of principal subspace 14

Recognizing facial expressions in the orthogonal complement ...

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9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Agarwal, Swapna Mazumder, Sanjoy Mukherjee, Dipti Prasad Indian Statistical Institute Kolkata700108 India

ISBN: (纸本)1595930361

We present a novel framework for recognition of facial expressions from a given face image. the framework is based on the assumption that expression information lies in the subspace orthogonal to the subspace representing expressionneutral faces. For deriving the principal subspace of the face images showing no expression, PCA is used as a tool. then we derive a method to find the orthogonal complement (OC) of the subspace defined by the principal components. It is shown using different tools such as dendrogram and Davies-Bouldin cluster index that the OC of the principal subspace better represents the expressions as compared to the principal subspace in PCA analysis. We have done extensive experiments to validate the recognition capability of the proposed OC space. Two well known publicly available facial expression databases are used for the experiments. We also compare the expression discrimination capability of the OC subspace with some well known features for expression representation. the proposed framework exhibits higher (9:66% on average) recognition capability as compared to the present state-of-the-art works. Copyright 2014 ACM.

关键词： Face recognition

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Designing a Sequential Hybrid BCI Speller on Fusion of Motor imagery and Steady-State Visually Evoked Potentials EEG Data 14

Designing a Sequential Hybrid BCI Speller on Fusion of Motor...

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14th indian conference on computer vision, graphics and image processing, ICVGIP 2023

作者： Nama, Tutan Samanta, Debasis Department of Computer Science and Engineering Indian Institute of Technology Kharagpur West Bengal Kharagpur India

ISBN: (纸本)9798400716256

Brain-computer interfaces (BCIs) enable direct communication between the human brain and external devices, interpreting signals like Electroencephalogram (EEG) to translate user intentions into commands. While EEG-based BCIs have potential, they face accuracy and user training challenges. Hybrid BCIs (hBCIs) integrate various input modalities to enhance robustness of BCI applications. Based on the operation mode hBCIs are two types, sequential and simultaneous. In simultaneous hBCI two or more input modalities work together to achieve a single goal. Sequential hBCIs, where modalities work in sequence, offer intuitive interactions. this work introduces a hybrid BCI speller combining MI and SSVEP in a sequential operation mode of hybrid BCI. Two-class MI EEG signals navigate through character groups at the initial stage and initiate SSVEP-based spelling. the interface integrates letters, punctuation, space, error correction operators, and digits. Promising results show an average entry rate of 8.28 char/min with 92.35% accuracy among six participants. this study showcases the potential of hybrid BCI spellers, enhancing communication for individuals with motor impairments. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Brain computer interface

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A pipeline for building 3D models using depth cameras 12

A pipeline for building 3D models using depth cameras

引用

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

作者： Chatterjee, Avishek Jain, Suraj Govindu, Venu Madhav Department of Electrical Engineering Indian Institute of Science Bengaluru 560012 India

ISBN: (纸本)9781450316606

In this paper we describe a system for building geometrically consistent 3D models using structured-light depth cameras. While the commercial availability of such devices, i.e. Kinect, has made obtaining depth images easy, the data tends to be corrupted with high levels of noise. In order to work with such noise levels, our approach decouples the problem of scan alignment from that of merging the aligned scans. the alignment problem is solved by using two methods tailored to handle the effects of depth image noise and erroneous alignment estimation. the noisy depth images are smoothed by means of an adaptive bilateral filter that explicitly accounts for the sensitivity of the depth estimation by the scanner. Our robust method overcomes failures due to individual pairwise ICP errors and gives alignments that are accurate and consistent. Finally, the aligned scans are merged using a standard procedure based on the signed distance function representation to build a full 3D model of the object of interest. We demonstrate the performance of our system by building complete 3D models of objects of different physical sizes, ranging from cast-metal busts to a complete model of a small room as well as that of a complex scale model of an aircraft. © 2012 ACM.

关键词： Alignment

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Segmentation of Bangla words in scene images 12

Segmentation of Bangla words in scene images

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

作者： Banik, Prakriti Bhattacharya, Ujjwal Parui, Swapan K. Indian Statistical Institute Kolkata 700108 India

ISBN: (纸本)9781450316606

Some studies on extraction of Bangla texts from scene images are available in the literature. Also, OCR of printed Bangla texts has been extensively studied. However, the performance of available Bangla OCR on scene texts is not acceptable. In this article, we present our recent study of segmentation of characters or their parts from Bangla texts extracted from scene images. the proposed approach detects the background and text by a combination of two algorithms: unsupervised learning algorithm K-means clustering and Otsu's threshold selection. We propose a criterion to choose an optimal K value for K-means clustering. the text segmentation is based on region growing and extraction of both headline and baseline of such texts. these two lines divide a Bangla word into three horizontal zones. the present algorithm segments characters or their parts in each individual zone. this zone-based segmentation approach helps to reduce the number of symbols to be handled by the classifier in the next stage of the OCR system. Our algorithm can also detect an image having only numerals, avoiding zone detection in that case. Extracted scene texts are often affected by artifacts and our segmentation algorithm can remove them efficiently. Our algorithm has been tested on 2460 Bangla words extracted from 260 scene images. © 2012 ACM.

关键词： Optical character recognition

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Techniques for improving the performance of image retrieval using relevance feedback 14

Techniques for improving the performance of image retrieval ...

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9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Nayak, Shrikant Sekhar, C. Chandra Department of Computer Science and Engineering Indian Institute of Technology Madras India

ISBN: (纸本)1595930361

Relevance feedback is important in bridging the semantic gap between the low-level visual features and the high-level semantic concepts during the image retrieval. In this work, the image retrieval using relevance feedback involves four phases. In the first phase, an initial retrieval is carried out for a given query image and each of the retrieved images is rated as relevant or irrelevant. In the second phase, the rated images are clustered. In the third phase, a score is computed for each image in the repository to measure the degree of its relevance to the query using the images in the clusters. We propose a method to compute the score using the local relevance feedback and the global relevance feedback. the local relevance feedback based component of the score is computed using the instance-based feedback approach. In this approach, the degree of relevance is measured using the feedback from the current iteration only. the global relevance feedback based component of the score is computed using the query-point movement approach. In this approach, the degree of relevance is measured using the feedback from different iterations. the scores for the images in the repository are used to retrieve the images. Each of the newly retrieved images is rated as relevant or irrelevant. In the fourth phase, each of the newly rated images is assigned to an existing cluster of rated images. We propose to represent an irregularly shaped cluster using multiple representatives. these representatives are used to assign each of the newly rated images to a cluster. the third and fourth phases are repeated until there is a convergence of the process of retrieval. the image retrieval performance for the proposed methods is compared with that of the existing methods on Wang and Corel image datasets. Results of these studies demonstrate the effectiveness of the proposed methods in improving the retrieval performance. Copyright 2014 ACM.

关键词： image retrieval

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