Despite the significant success of using local feature descriptor with many applications such as, face detection, human facial expression recognition, gender classification, signature verification, etc. Based on our knowledge, there is no research present on the usage of the descriptor to solve the stereo corresponding problem. Despite this, descriptor uses the same methodology for comparing th...

In this paper, a new approach is proposed to extract features from the dorsal hand vein pattern. The modified Weber Local Binary Pattern (WLBP) is feature descriptor extracted, which effectively combines the advantages of WLD and LBP. WLBP feature vector consists of two components: Differential Excitation and LBP. The Differential excitation component derived based on Weber's law, which extract...

An articulated model is composed of a set of rigid parts connected by some flexible junctions. The junction, as a critical local feature, provides valuable information for many 3D semantic analysis applications such as feature recognition, semantic segmentation, shape matching, motion tracking and functional prediction. However, efficient description and detection of junctions still remain a re...

In this paper, we propose a novel local feature, called Local Orientation Adaptive Descriptor (LOAD), to capture regional texture in an image. In LOAD, we proposed to define point description on an Adaptive Coordinate System (ACS), adopt a binary sequence descriptor to capture relationships between one point and its neighbors and use multi-scale strategy to enhance the discriminative power of t...

Received Nov 3, 2016 Revised Jan 7, 2017 Accepted Feb 16, 2017 Retrieval of similar images from large dataset of brain images across patients would help the experts in the decision diagnosis process of diseases. Generally used feature extraction methods are color, texture and shape. In medical images texture and shape features are most efficient. Histogram of Oriented Gradients (HOG) and Local ...

Local feature description is to assign a unique signature key-point such that it becomes distinctive from the others regardless of changes in viewpoint, illumination, rotation, scale as well distortions and noise. This paper proposes novel approach construct descriptor. For preserving both homogeneous heterogeneous features given support region, we interweave texture information so more likely ...

This paper presents a classification scheme for audio signals using high-level feature descriptors. The descriptor is designed to capture the relevance of each acoustic feature group (or feature set like mel-frequency cepstral coefficients, perceptual features etc.) in recognizing an audio class. For this, a bank of RVM classifiers are modeled for each ‘audio class’-‘feature group’ pair. The re...

A novel real-time local visual feature, namely FAST+LBP, is proposed in this paper for omnidirectional vision. It combines the advantages of two computationally simple operators by using Features from Accelerated Segment Test (FAST) as the feature detector and Local Binary Patterns (LBP) operator as the feature descriptor. The matching experiments of the panoramic images from the COLD database ...

This paper presents a novel expression recognition method based on global and local features with decision-level fusion. We first extract Local Directional Pattern (LDP) global features of the whole face which can guarantee basic expression difference and decrease the influence of no-facial region meanwhile, then the Local Directional Pattern Variance (LDPv) descriptor is used to extract local ...