Representation and Recognition
Research on 2D Face Representation and Recognition
... In the experiments, the schemes of PCA+NN and LDA+NN make only 45% and 55% of the recognition efficiency. Those are all subspace-based methods, and need abundant and spread training samples. Under that, the ...
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1. Opportunity and challenge on face recognition: generic-to-specific feature representation and recognition strategy
... face recognition especially on the development of benchmark datasets and feature extraction ...face recognition, how to handle high variations in pose, lighting, and device difference, face attribute, ...
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Sparse error gait image: a new representation for gait recognition
... gait recognition system is very much related to the usage of efficient feature representation and recognition ...The recognition module then compares the features of a probe user with those ...
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SpatioTemporal LBP and shape feature for human activity representation and recognition
... action recognition that represents a human action as a histogram of LBP images created from DMHIs, ...the recognition rate is promising enough for practical use compared to the state of the art ...SF ...
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Representation, Recognition and Collaboration with Digital Ink
... Chapter 11 Conclusion Digital ink technology has evolved over the years. Its use in form filling, free-hand input, document annotation and collaboration has been well recognized. Pen input today is almost everywhere, ...
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Spatial Domain Representation for Face Recognition
... Face recognition using LPQ feature representation is inspired by [18, 19] which used LPQ as blur invariant ...face recognition using LPQ under varying conditions of light, blur, and ...face ...
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Feature Extraction and Representation for Face Recognition
... face recognition task, where it is assumed to have several examples of a subject available for training, we have shown in an extensive experimental setting the advantages and weaknesses of commonly used feature ...
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Complex Spectral Minutiae Representation For Fingerprint Recognition
... minutiae representation is designed for combining fingerprint recognition with template ...fingerprint recognition system: first, no relative alignment of two fingerprints is al- lowed due to the ...
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Enhanced image and video representation for visual recognition
... visual recognition, and may be categorized in two ...instance recognition, in which the aim is to identify instances of a particular object or entity; for example the Eiffel Tower or a given ...category ...
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Feature Extraction and Representation for Human Action Recognition
... video representation into a 2D im- age representation problem; In the second and third approaches, we treat the video sequences as 3D volumes and propose to use spatio-temporal pyramid structures to extract ...
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Disentangled Variational Representation for Heterogeneous Face Recognition
... Variational Representation (DVR) for cross- modal ...face representation with an intrinsic identity information and its within-person varia- ...variational representation part and the heteroge- neous ...
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A syncretic representation for image classification and face recognition
... improve 5.63% for the recognition accuracy. This means that our method is very helpful for image classification. 5. Conclusions In this paper, we proposed a novel representation based classification method ...
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Shape Modeling and Analysis for Object Representation, Reconstruction, and Recognition
... graph representation of a surface ...of representation make the method particularly suitable for storage, surface reconstruction, and shape recognition ...
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Learning a Mid-Level Representation for Multiview Action Recognition
... action recognition ap- proach with a novel mid-level action ...mid-level representation from low-level descriptors of multiview ...mid-level representation for subvolumes simultaneously recorded from ...
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Posterior-based Sparse Representation for Automatic Speech Recognition
... sparse representation was proposed, exploiting exemplar-based sparse representation and the properties of the posterior feature ...word recognition and continuous speech recognition re- ...
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Frequency domain based spectroface representation for face recognition
... Face recognition system attracts huge attention among researchers in recent years and still ongoing research area due to both its scientific challenge and wide range of potential ...Face recognition seems ...
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Discriminative Block-Diagonal Representation Learning for Image Recognition
... Sparse representation has been widely studied and applied in signal processing, machine learning, and computer vision [3], ...sparse representation is based on the assumption that each signal can be ...
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A Novel Sparse Representation Method of Occluded Images for Face Recognition
... Compared to the random pixel corruption, contiguous occlusion is certainly a worse type of errors for the algorithm. Notice, though, that the algorithm does not assume any knowledge about the nature of corruption or ...
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Vision-based Human Action Recognition: A Sparse Representation Perspective
... sparse representation problems to derive the ...corresponding representation using the action instances in each action ...action recognition system is tested and evaluated on the famous and ...
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Restricted Boltzmann machines for vector representation of speech in speaker recognition
... Over the last few years, i-vectors have been the state-of-the-art technique in speaker recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors but the DL techniques in ...
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