Content-independent orientation detection with histogram of optimized local binary pattern [PDF]
This thesis is primarily concerned with the introduction of a new approach to the general problem of automatic image orientation detection. Inspired by the local binary pattern (LBP), a luminance, rotation and scale invariant and content-independent algorithm is proposed, namely: Histogram of Optimized Local Binary Pattern (HOOPLBP).
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Facial Expression Recognition Using Salient Features and Convolutional Neural Network
A depth camera-based novel method is proposed here for efficient facial expression recognition. For each pixel in a depth image, eight local directional strengths are obtained and ranked.
Md. Zia Uddin +2 more
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Less is More: Micro-expression Recognition from Video using Apex Frame
Despite recent interest and advances in facial micro-expression research, there is still plenty room for improvement in terms of micro-expression recognition. Conventional feature extraction approaches for micro-expression video consider either the whole
Liong, Sze-Teng +3 more
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Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. However, LBP has some notable limitations, mostly the sensitivity to noise.
Alkhatib, Mohammad, Hafiane, Adel
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Weighted Multi-scale Local Binary Pattern Histograms for Face Recognition
This paper proposes a novel face recognition methodology, which is based on the combination of the texture operator, namely Multi-scale Local Binary Pattern (MSLBP), face image filtering and discriminative feature weighting algorithms. Presented MSLBP principle enhances the discriminative power of the original Local Binary Pattern operator.
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An efficient Autoseed Region Growing with Morphological Masking(ARGMM) is imple-mented in this paper on the Lung CT Slice to segment the 'Lung Nodules',which may be the potential indicator for the Lung Cancer.
Senthil Kumar
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Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets
Sliding window is one direct way to extend a successful recognition system to handle the more challenging detection problem. While action recognition decides only whether or not an action is present in a pre-segmented video sequence, action detection ...
Hussein, Mohamed E. +2 more
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AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION [PDF]
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features.
K. Meena, A. Suruliandi, R. Reena Rose
doaj
Neighbourhood detection and indentification of spatio-temporal dynamical systems using a coarse-to-fine approach [PDF]
A novel approach to the determination of the neighbourhood and the identification of spatio-temporal dynamical systems is investigated. It is shown that thresholding to convert the pattern to a binary pattern and then applying cellular automata (CA ...
Billings, S.A., Guo, L.Z., Mei, S.S.
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MONITORING OF PRIVATE SPACE WITH THE LOCAL BINARY PATTERN HISTOGRAM ALGORITHM
Abstract–The main goal of this project is to create an application for security purposes. Because of this, many individuals who may or may not know us are gaining access to our personal workspace. There are other difficulties, such as losing important papers and valuables.
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