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

共 1004 条记录，以下是161-170 订阅

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Use of leaf colour for Drought stress analysis in Rice 5

Use of leaf colour for Drought stress analysis in Rice

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

作者： Bhugra, Swati Chaudhury, Santanu Lall, Brejesh Indian Inst Technol Dept Elect Engn Delhi India

ISBN: (纸本)9781467385640

We propose a novel approach of utilizing phenomic traits to automatically quantify stress in plants using machine learning techniques. Moisture deficit conditions cause change in leaf color due to decrease in chlorophyll content as chloroplast is damaged by active oxygen species. therefore, the proposed technique uses leaf color as the phenomic trait to assess stress levels using Relative water content (RWC) as a quantitative proxy. We extracted the change in leaf color in response to drought stress using the color features obtained using Random forest. A regressor has been modeled to predict the stress level of rice genotypes via RWC by employing colour histogram as a feature vector. the experiment was performed with pot images of different rice genotypes under normal and drought stressed conditions. We report a correlation coefficient of 0.89 obtained using this model demonstrating the capability of the presented technique for stress level predictions.

关键词： Regressor Random Forest Phenomics Colour Histogram Relative Water Content

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Adaptive Crypto-Steganosystem for videos based on Information Content and Visual Perception 5

Adaptive Crypto-Steganosystem for videos based on Informatio...

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

作者： Mukherjee, Prerana Srivastava, Siddharth Lall, Brejesh Asolkar, Saisha Pai, Meera Indian Inst Technol Delhi India Natl Inst Technol Ponda Goa India

ISBN: (纸本)9781467385640

Steganography is the art of hiding secret data inside a carrier media. Most steganographic techniques suffer from the drawback that they are unable to retain the perceptual quality. Using saliency cues for developing an adaptive steganographic technique can help to alleviate this problem. In this work, a novel perception driven robust crypto-steganographic algorithm is proposed for embedding secure data in videos. the proposed scheme selects the payload regions based on natural scene statistics. To further strengthen the scheme and ensure intractability of secure data, the encrypted secret data is embedded in a random manner using jumbling sequence generator in the frames. We utilize perceptual hashing to evaluate the number of bit insertions that will not compromise the perceptual quality. A comprehensive performance evaluation of the proposed scheme is provided to detail the effectiveness. We demonstrate that the scheme shows a lot of promise in being robust against statistical and saliency based attacks.

关键词： Saliency Steganography Encryption Perceptual Quality

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An Improved Multi-layer Codebook Model to Eliminate Ghost Region 5

An Improved Multi-layer Codebook Model to Eliminate Ghost Re...

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

作者： Badal, Tapas Nain, Neeta Ahmed, Mushtaq Sharma, Vishakha MNIT Dept Comp Sci & Engn Jaipur 302017 Rajasthan India

ISBN: (纸本)9781467385640

Codebook model is a widely used method for segmenting foreground pixels. However, it often generates the erroneous detection results with a dynamic background. this paper proposed a multi-layer codebook model for segmenting foreground pixels and a separate layer is utilize to disparate static background from dynamic background. It improve processing speed as system keep history of uncovered background region. Proposed method reduces erroneous positive pixels detected conventionally as ghost region when pixel belongs to background suddenly start moving. To eliminate shadow/illumination effects cone shaped color distance map is utilized in lieu of cylindrical. During experimentation proposed method is tested over numerous videos with complex illumination and background situations. the experimental result shows improvement over rudimentary codebook model and other state-of-art background subtraction model by reducing erroneous positive pixels detected such as ghost region and enhance foreground detection.

关键词： Pixels

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Bishnupur Heritage image Dataset (BHID): A resource for various computer vision applications 16

Bishnupur Heritage Image Dataset (BHID): A resource for vari...

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

作者： Ghorai, Mrinmoy Purkait, Pulak Santra, Sanchayan Samanta, Soumitra Chanda, Bhabatosh Indian Stat Inst Kolkata India Adelaide Univ Adelaide SA Australia

ISBN: (纸本)9781450347532

Bishnupur is an attractive tourist place in West Bengal, India and is known for its terracotta temples. the place is one of the prospective candidates to be included in the list of UNESCO World Heritage sites. We intend to preserve this heritage site digitally and also to present some virtual interaction for the tourist and researchers. In this paper, we present an image dataset of different temples (namely, Jor Bangla, Kalachand, Madan Mohan, Radha Madhav, Rasmancha, Shyamrai and Nandalal) in Bishnupur for evaluating different types of computer vision and image processing algorithms (like 3D reconstruction, image inpainting, texture classification and content specific image retrieval). the dataset is captured using four different cameras with different parameter settings. Some datasets are extracted and earmarked for certain applications such as texture classification, image inpainting and content specific image retrieval. Example results of baseline methods are also shown for these applications. thus we evaluate the usefulness of this dataset. To the best of our knowledge, probably this is the first attempt of combined dataset for evaluating various types of problems for a heritage site in India.

关键词： Heritage data SFM image inpainting temple texture

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Crowd Motion Analysis for Group Detection 16

Crowd Motion Analysis for Group Detection

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

作者： Bhargava, Neha Chaudhuri, Subhasis Indian Inst Technol Bombay Maharashtra India

ISBN: (纸本)9781450347532

Understanding crowd dynamics is an interesting problem in computer vision owing to its various applications. We propose a dynamical system to model the dynamics of collective motion of the crowd. the model learns the spatio-temporal interaction pattern of the crowd from the track data captured over a time period. the model is trained under a least square formulation with spatial and temporal constraints. the spatial constraint allows the model to consider only the neighbors of a particular agent and the temporal constraint enforces temporal smoothness in the model. We also propose an effective group detection algorithm that utilizes the eigenvectors of the interaction matrix of the model. the group detection is cast as a spectral clustering problem. Extensive experimentation demonstrates a superlative performance of our group detection algorithm over state-of-the-art methods.

关键词： crowd dynamics group detection

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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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On Exploiting Affine Repetitions for 3D Reconstruction from a Single image

On Exploiting Affine Repetitions for 3D Reconstruction from ...

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6th indian conference on computer vision, graphics and image processing

作者： Sharma, Geetika Chaudhury, Santanu Srivastava, J. B. Tata Consultancy Serv 249 D&E Udyog ViharPhase 4 Gurgaon Haryana India Indian Inst Technol Delhi Dept Elect Engn Delhi 110016 India Indian Inst Tecchnol Delhi Dept Math Delhi India

ISBN: (纸本)9781424442195

Symmetry and affine repetitions are common in scenes with man-made structures. In this paper we propose a technique to exploit affine repetitions in a 3D scene for reconstruction and view synthesis from a single image. Assuming three vanishing points in the image, we show how the 3D structure of multiple objects and their affine repetitions may be computed and used for synthesizing new views. the reconstructed objects may also be inserted in other scenes to create augmented images.

关键词： image reconstruction

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Removal of Hand-drawn Annotation Lines from Document images by Digital-geometric Analysis and Inpainting

Removal of Hand-drawn Annotation Lines from Document Images ...

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

作者： Pratihar, Sanjoy Bhowmick, Partha Sural, Shamik Mukhopadhyay, Jayanta Indian Inst Technol Dept Comp Sci & Engn Kharagpur 721302 W Bengal India Indian Inst Technol Sch Informat Technol Kharagpur 721302 W Bengal India

ISBN: (纸本)9781479915880

Performance of an OCR system is badly affected due to presence of hand-drawn annotation lines in various forms, such as underlines, circular lines, and other text-surrounding curves. Such annotation lines are drawn by a reader usually in free hand in order to summarize some text or to mark the keywords within a document page. In this paper, we propose a generalized scheme for detection and removal of these handdrawn annotations from a scanned document page. An underline drawn by hand is roughly horizontal or has a tolerable undulation, whereas for a hand-drawn curved line, the slope usually changes at a gradual pace. Based on this observation, we detect the cover of an annotation object-be it straight or curvedas a sequence of straight edge segments. the novelty of the proposed method lies in its ability to compute the exact cover of the annotation object, even when it touches or passes through any text character. After getting the annotation cover, an effective method of inpainting is used to quantify the regions where text reconstruction is needed. We have done our experimentation with various documents written in English, and some results are presented here to show the efficiency and robustness of the proposed method.

关键词： ANNOTATIONS hand-drawn inpaint STRAIGHT-EDGE document image lines lines texts

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A 3D spectral-spatial classification of hyperspectral remote sensing imagery using inception based network 15

A 3D spectral-spatial classification of hyperspectral remote...

引用

International conference on computer graphics, Visualization, computer vision and image processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021

作者： Nyabuga, Douglas Omwenga Liu, Guohua School of Computer Science and Technology Donghua University Shanghai City201620 China

ISBN: (纸本)9789898704320

Hyperspectral remote sensing images (HSRSI) comprise hundreds of adjacent channels with rich spectral-spatial signatures, making it possible to discriminate earth objects. thus, it has contributed to its wide use in urban mapping, environmental management, and crop analysis. To completely take advantage of the abovementioned uses, it often requires the identification of the class of each pixel, which at times faces scarcity or limited availability of labeled training samples. Hence, it is an open challenge to achieve higher interpretation accuracies when processing such increased spectral-spatial resolution imagery. To this end, we, therefore, propose a 3D inception spectral-spatial network model (3D-ISSN). First, we adopt the principal component analysis (PCA) for dimensional reduction of spectral channels that are very much correlated while preserving the desirable information, second, we fuse the hierarchical spectral-spatial related features extracted for CNN1-D and CNN2-D, with our model for learning and achieving the correct classification with a softmax regression classifier. We verified our model through experiments carried out on two HSRSI data sets, namely Botswana (BT) and Kennedy Space Center (KSC), and compared our classification accuracies with the state-of-the-art (SOTA) methods. © 2021 International conference on computer graphics, Visualization, computer vision and image processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021. All rights reserved.

关键词： Remote sensing

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Adaptive BPSO based Feature Selection and Skin Detection based Background Removal for Enhanced Face Recognition

Adaptive BPSO based Feature Selection and Skin Detection bas...

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

作者： Sattiraju, Mayukh Vikram, Manikandan M. Manikantan, K. Ramachandran, S. MS Ramaiah Inst Tech Dept Elect & Commun Engn Bangalore 560054 Karnataka India SJB Inst Tech Dept Elect & Commun Engn Bangalore 560060 Karnataka India

ISBN: (纸本)9781479915880

Face recognition under varying background and pose is challenging, and extracting background and pose invariant features is an effective approach to solve this problem. this paper proposes a skin detection-based approach for enhancing the performance of a Face Recognition (FR) system, employing a unique combination of Skin based background removal, Discrete Wavelet Transform (DWT), Adaptive Multi-Level threshold Binary Particle Swarm Optimization (ABPSO) and an Error Control Feedback (ECF) loop. Skin based background removal is used for efficient background removal and ABPSO-based feature selection algorithm is used to search the feature space for the optimal feature subset. the ECF loop is used to neutralize pose variations. Experimental results, obtained by applying the proposed algorithm on Color FERET and CMUPIE face databases, show that the proposed system outperforms other FR systems. A significant increase in the recognition rate and substantial reduction in the number of features are observed.

关键词： Face Recognition image Preprocessing Feature Selection Particle Swarm Optimization

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