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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"

共 1495 条记录，以下是971-980 订阅

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Classification of Hardwood Species using ANN Classifier

Classification of Hardwood Species using ANN Classifier

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

作者： Yadav, Arvind R. Dewal, M. L. Anand, R. S. Gupta, Sangeeta Indian Inst Technol Dept Elect Engn Roorkee Uttar Pradesh India Forest Res Inst Bot Div Dehra Dun India

ISBN: (纸本)9781479915880

In this paper, an approach for the classification of different hardwood species of open access database, using texture feature extraction and supervised machine learning technique has been implemented. Edges of complex cellular structure of microscopic images of hardwood are enhanced with the application of Gabor filter, and Gray Level Co-occurrence Matrix (GLCM) as an effective texture feature extraction technique is being revalidated. About, 44 features have been extracted from GLCM;these features have been further normalized in the range [0.1, 1]. Multilayer Perceptron Backpropagation Artificial Neural Network have been used for classification. Experiments conducted on 25 wood species have resulted in recognition accuracy of about 88.60% and 92.60% using Levenberg-Marquardt backpropagation training function with two different datasets for training, validation and testing ratio (70%, 15%, 15% and 80%, 10%, 10%) respectively. Proposed methodology can be extended with optimized machine learning techniques for online identification of wood.

关键词： Microscopic image GLCM Gabor Filter Multilayer Perceptron Backpropagation Artificial Neural Network Reciever Operating Characteristics

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Spatio-Temporal feature based VLAD for efficient Video retrieval

Spatio-Temporal feature based VLAD for efficient Video retri...

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

作者： Reddy, Mopuri K. Arora, Sahil Babu, R. Venkatesh Indian Inst Sci Video Analyt Lab SERC Bengaluru Karnataka India Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur W Bengal India

ISBN: (纸本)9781479915880

Compact representation of visual content has emerged as an important topic in the context of large scale image/video retrieval. The recently proposed Vector of Locally Aggregated Descriptors (VLAD) has shown to outperform other existing techniques for retrieval. In this paper, we propose two spatio-temporal features for constructing VLAD vectors for videos in the context of large scale video retrieval. Given a particular query video, our aim is to retrieve similar videos from the database. Experiments are conducted on UCF50 and HMDB51 datasets, which pose challenges in the form of camera motion, view-point variation, large intra-class variation, etc. The paper proposes the following two spatio-temporal features for constructing VLADs i) Local Histogram of Oriented Optical Flow (LHOOF), and ii) Space-Time Invariant Points (STIP). The performance of these proposed features are compared with SIFT based spatial feature. The mean average precision (MAP) indicates the better retrieval performance of the proposed spatio-temporal feature over spatial feature.

关键词： Vector of Locally Aggregated Descriptors (VLAD) Video Retrieval STIP HOOF SIFT Spatio-temporal features

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ISIgraphy: a Tool for Online Handwriting Sample Database Generation

<i>ISIgraphy</i>: a Tool for Online Handwriting Sample Datab...

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

作者： Das, Arindam Bhattacharya, Ujjwal Narula Inst Technol Dept Comp Sci & Engn Kolkata India Indian Stat Inst Comp Vis & Pattern Recognit Unit Kolkata India

ISBN: (纸本)9781479915880

Online handwriting recognition research has recently received significant thrust. Specifically for indian scripts, handwriting recognition has not been focused much till in the near past. However, due to generous Government funding through the group on Technology Development for indian Languages (TDIL) of the Ministry of Communication & Information Technology (MC&IT), Govt. of India, research in this area has received due attention and several groups are now engaged in research and development works for online handwriting recognition in different indian scripts. An extensive bottleneck of the desired progress in this area is the difficulty of collection of large sample databases of online handwriting in various scripts. Towards the same, recently a user-friendly tool on Android platform has been developed to collect data on handheld devices. This tool is called ISIgraphy and has been uploaded in the Google Play for free download. This application is designed well enough to store handwritten data samples in large scales in user-given file names for distinct users. Its use is script independent, meaning that it can collect and store handwriting samples written in any language, not necessarily an indian script. It has an additional module for retrieval and display of stored data. Moreover, it can directly send the collected data to others via electronic mail.

关键词： Online handwriting recognition database generation online handwriting database

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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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REAL TIME ANOMALY DETECTION IN H.264 COMPRESSED VIDEOS

REAL TIME ANOMALY DETECTION IN H.264 COMPRESSED VIDEOS

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

作者： Biswas, Sovan Babu, R. Venkatesh Indian Inst Sci Supercomp Educ Res Ctr Video Analyt Lab Bangalore 560012 Karnataka India

ISBN: (纸本)9781479915880

Real time anomaly detection is the need of the hour for any security applications. In this paper, we have proposed a real-time anomaly detection algorithm by utilizing cues from the motion vectors in H.264/AVC compressed domain. The discussed work is principally motivated by the observation that motion vectors (MVs) exhibit different characteristics during anomaly. We have observed that H.264 motion vector magnitude contains relevant information which can be used to model the usual behavior (UB) effectively. This is subsequently extended to detect abnormality/anomaly based on the probability of occurrence of a behavior. Additionally, we have suggested a hierarchical approach through Motion Pyramid for High Resolution videos to further increase the detection rate. The proposed algorithm has performed extremely well on UMN and Peds Anomaly Detection Video datasets, with a detection speed of > 150 and 65 - 75 frames per sec in respective datasets resulting in more than 200x speedup along with comparable accuracy to pixel domain state-of-the-art algorithms.

关键词： Anomaly Detection H.264/AVC Compressed Domain Real Time Detection Video Surveillance

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Shape Recognition based on Shape-Signature Identification and Condensibility: Application to Underwater imagery

Shape Recognition based on Shape-Signature Identification an...

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

作者： Banerjee, Jeet Ray, Ranjit Vadali, Siva Ram Krishna Layek, Ritwik Kumar Shome, Sankar Nath Indian Inst Technol Elect & Elect Commun Dept Kharagpur 721302 W Bengal India CSIR Cent Mech Engn Res Inst Robot & Automat Div Durgapur 713209 W Bengal India

ISBN: (纸本)9781479915880

In this paper, a shape recognition method is proposed for a few common geometrical shapes including straight line, circle, ellipse, triangle, quadrilateral, pentagon and hexagon. In the present work, two indices namely Unique Shape Signature (USS) and Condensibility (C) are employed for shape recognition of an object. Using the USS index, all the above mentioned non-circular shapes are neatly recognized, whereas, the C index recognized the circular objects. An added advantage of the proposed method is that it can further differentiate triangles, quadrilaterals and both symmetric and non-symmetric shapes of pentagon and hexagon using distance variance (Var(d(si))) parameter calculated from USS. Applying the proposed method on above mentioned shapes, an overall recognition rate of 98.80% is achieved on several simulated and real objects of different shapes. Proposed method has also been compared with two existing methods, presents better result. Performance of the proposed method is illustrated by applying it on underwater images and it is observed to perform satisfactory on all the images under test.

关键词： C (programming language)

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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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Real-Time Approximate and Exact CSG of Implicit Surfaces on the GPU

Real-Time Approximate and Exact CSG of Implicit Surfaces on ...

引用

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

作者： Singh, Jag Mohan Qualcomm Res India Hyderabad Andhra Pradesh India

ISBN: (纸本)9781479915880

We present a simple and powerful scheme to allow CSG of implicit surfaces on the GPU. We decompose the boolean expression of surfaces into sum-of-products form. Our algorithm presented in this paper then renders each product term, sum of products can be automatically by enabling depth test. Our Approximate CSG uses adaptive marching points algorithm for finding ray-surface intersection. Once we find an interval where root exists after root-isolation, this is used for presence of intersection. We perform root-refinement only for the uncomplemented terms in the product. Exact CSG is done by using the discriminant of the ray-surface intersection for the presence of the root. Now we can simply evaluate the product expression by checking all uncomplemented terms should be true and all complemented terms should be false. If our condition is met, we find the maximum of all the roots among uncomplemented terms to be the solution. Our algorithm is linear in the number of terms O(n). We achieve real-time rates for 4-5 terms in the product for approximate CSG. We achieve more than real-time rates for Exact CSG. Our primitives are implicit surfaces so we can achieve fairly complex results with less terms.

关键词： Implicit GRAPPER PICK UP graphics processing Unit Root Approximate Intersection Crossing Exact Real time Discriminant Boolean expression

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Multi-resolution image Fusion Using Multistage Guided Filter

Multi-resolution Image Fusion Using Multistage Guided Filter

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

作者： Joshi, Sharad Upla, Kishor P. Joshi, Manjunath V. SV Natl Inst Technol Surat 395007 Gujarat India Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar 382007 Gujarat India

ISBN: (纸本)9781479915880

In this paper, we propose a multi-resolution image fusion approach based on multistage guided filter (MGF). Given the high spatial resolution panchromatic (Pan) and high spectral resolution multi-spectral (MS) images, the multi-resolution image fusion algorithm obtains a single fused image having both the high spectral and the high spatial resolutions. Here, we extract the missing high frequency details of MS image by using multistage guided filter. The detail extraction process exploits the relationship between the Pan and MS images by utilizing one of them as a guidance image and extracting details from the other. This way the spatial distortion of MS image is reduced by consistently combining the details obtained using both types of images. The final fused image is obtained by adding the extracted high frequency details to corresponding MS image. The results of the proposed algorithm are compared with the commonly used traditional methods as well as with a recently proposed method using Quickbird, Ikonos-2 and Worldview-2 satellite images. The quantitative assessment is evaluated using the conventional measures as well as using a relatively new index i. e., quality with no reference (QNR) which does not require a reference image. The results and measures clearly show that there is significant improvement in the quality of the fused image using the proposed approach.

关键词： MULTISTAGE image fusion images Multi-resolution imagery (Psychotherapy) image Filters peroxyacetyl nitrate Mass spectroscopy Multiple Sclerosis

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CHILD: A Robust Computationally-Efficient Histogram-based image Local Descriptor

CHILD: A Robust Computationally-Efficient Histogram-based Im...

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

作者： Anamandra, Sai Hareesh Chandrasekaran, V. Sri Sathya Sai Inst Higher Learning Dept Math & Comp Sci Puttaparthi 515134 India

ISBN: (纸本)9781479915880

Designing a robust image local descriptor for the purpose of pattern recognition and classification has been an active area of research. Towards this end, a number of local descriptors based on Weber's law have been proposed recently. Notable among them are Weber Local Descriptor (WLD), Weber Local Binary Pattern (WLBP) and Gabor Weber Local Descriptor (GWLD). Experiments reveal their inability to classify patterns under noisy environments. Our analysis indicates that the components of the WLD: differential excitation and orientation are to be redesigned for robustness and computational efficiency. In this paper, we propose a local Descriptor, called Computationally-Efficient Histogram-based image Local Descriptor (CHILD), which implements the differential excitation component based on LoG as in WLBP and the orientation component based on fractional order derivatives. The novelty of CHILD stems from the fact that both the LoG and the fractional order derivatives are robust against noise. Further, we have used Wasserstein distance metric to compute the distance between the two histograms and a nearest neighbour classifier which are computationally efficient. We have demonstrated that on the benchmark texture database KTH-TIPS2-a, under both noiseless and noisy conditions, the average classification accuracies of the CHILD consistently outperform the popular local descriptors for texture classification quoted in the literature until 2013.

关键词： useful area Descriptors Frontotemporal Dementia Computational efficiency Pattern recognition Noisy environment Robustness imagery (Psychotherapy) image images

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