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Plane fitting plays an important role in image processing and computer vision. It is challenging because of the outliers that do not follow the plane pattern. In this work, we address the problem of support-plane fitting for room floor detection from point clouds that are generated from depth image. Based on the geometric layout of data, an optimization problem is derived to estimate the support-plane...
An information geometric algorithm is proposed to control the shape of the conditional output probability density function for stochastic distribution control systems. The considered system is of multi-input and multi-output with stochastic noises and a output feedback vector. Based on the assumption that the probability density function of the stochastic noise is known, we obtain the conditional...
This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected region (rectangle) can be found. Then, the binary information of the core region can be obtained based on a specific filter. After noises are removed, a novel Binary Feature Histogram (BFH)...
Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the discriminative spatial-temporal features, we introduce the Motion History Image (MHI) into the optical flow algorithm. Motion patterns are then detected by automatic clustering of optical...
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