Local Binary Pattern (LBP) are considered as a classical descriptor for texture analysis, it has mostly been used in pattern recognition and computer vision applications. However, the LBP gets information from restricted number of local neighbors which is not enough to describe information, other descriptors that get large suffer dimensionality consume much time. In this regard, we propose nove...

In this work, we present a novel local descriptor for video sequences. The proposed descriptor is based on histograms of oriented 3D spatio-temporal gradients. Our contribution is four-fold. (i) To compute 3D gradients for arbitrary scales, we develop a memory-efficient algorithm based on integral videos. (ii) We propose a generic 3D orientation quantization which is based on regular polyhedron...

We present a new type of local image descriptor which yields binary patterns from small image patches. For the application to fingerprint liveness detection, we achieve rotation invariant image patches by taking the fingerprint segmentation and orientation field into account. We compute the discrete cosine transform (DCT) for these rotation invariant patches and attain binary patterns by compar...

SIFT-like representations are considered as being most resistant to common deformations, although their computational burden is heavy for low-computation applications such as mobile image retrieval. H. Bay et. al. proposed an efficient implementation of SIFT called SURF. Although this descriptor has been able to represent the nature of some underlying image patterns, it is not enough to represe...

This study questions why existing local shape descriptors have high dimensionalities (up to hundreds) despite simplicity of local shapes. We derived an answer from a historical context and provided an alternative solution by proposing a new compact descriptor. Although existing descriptors can express complicated shapes and depth sensors have been improved, complex shapes are rarely observed in...

We present a method to train deep-network-based feature descriptor calculate discriminative local descriptions from renders and corresponding real images with similar geometry. are interested in using such descriptors for automatic industrial visual inspection whereby the camera has been coarsely localized respect relatively large mechanical assembly presence of certain components needs be chec...