To better cope with the significant nonlinear radiation distortions (NRD) and severe rotational in multi-modal remote sensing image matching, this paper introduces a rotationally robust feature-matching method based on maximum index map (MIM) 2D matrix, which is called rotation-invariant local phase orientation histogram (RI-LPOH). First, feature detection performed weighted moment equation. Th...

In this paper, a motion field representation algorithm based on directional edge information has been developed. This work is aiming at building an ego-motion detection system using dedicated VLSI chips developed for real time motion field generation at low powers [1], [2]. Directional edge maps are utilized instead of original gray-scale images to represent local features of an image and to de...

In this paper we consider an object categorization system using local HMAX features. Two feature matching techniques are compared: the MAX technique, originally proposed in the HMAX framework, and the histogram technique originating from Bag-of-Words literature. We have found that each of these techniques have their own field of operation. The histogram technique clearly outperforms the MAX tec...

This paper proposes a parallel matching algorithm for feature-based stereo vision. Features are zero-crossing (ZC) points detected with various sizes of Laplacian-Gaussian filters. In order to obtain candidate intervals of disparity, the disparity histogram is computed all over the image. The image is, then, divided into small areas and the disparity histogram in each local area is computed wit...

Inspired by theories of higher local order autocorrelation (HLAC), this paper presents a simple, novel, yet very powerful approach for wood recognition. The method is suitable for wood database applications, which are of great importance in wood related industries and administrations. At the feature extraction stage, a set of features is extracted from Mask Matching Image (MMI). The MMI feature...

In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Binary Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local Mean Binary Pattern (LMBP) of it. LMBP code of pixel is obtained by weighting the thresholded neighbor value of 3  3 patch on its mean. LHMBP produces highly discriminative code compared to other state of the art method...

This paper introduces a novel 4D shape descriptor to match temporal surface sequences. A quantitative evaluation based on the Receiver-Operator Characteristic (ROC) curve is presented to compare the performance of conventional 3D shape descriptors with and without using a time filter. Featurebased 3D Shape Descriptors including Shape Distribution [24], Spin Image [14], Shape Histogram [1] and S...