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This paper presents a local stereo matching algorithm based on the window construction method using local edge detection. In order to improve performance of window-based cost aggregation computation, a new rule called Dissimilar Intensity Support technique is proposed to distinguish support pixels with dissimilar intensities from those with similar intensity for each centered pixel. According to the...
Detecting the parts of a vehicle represents a topic of major interest for computer vision applications, especially for precrash systems. This paper proposes an artificial vision based technique that identifies the pillars of the lateral viewed cars. The novelty of the approach resides in the multi-layer classification scheme applied within the context of a stereo-based object detection system. From...
We present an alternative approach to address correspondence in computational stereo. Accurate correspondence between two 2D images is required to determine depth, which leads to 3D model generation. To achieve this, optimized noise reduction method and accurate edge detection are required for preprocessing, followed by extracting the contours from the edge detection output and detecting the correspondence...
In this paper, we explore the key factors in the design and implementation of visual computing (image processing and computer vision) algorithms on the massive parallel GPU (graphics processing units). The goal of the exploration is to provide common perspective and guidelines of using GPU for visual computing applications. We have selected three nontrivial applications (multiview stereo matching,...
This paper presents a new local binocular stereo matching algorithm. A self-adapting matching score is used to measure the dissimilarity of two corresponding pixels. In matching cost aggregation step, we replace the cost of each pixel with the average cost of selected neighboring pixels based on edge pixels information to limit cost aggregation within the same segment, which can preserve the shape...
There are many approaches to pedestrian detection in collision avoidance systems depending on the sensors (visible light, thermal infrared, radar, laser scanner) used for acquiring the data and the features (depth, shape, motion) used for detection. In this paper we present a method for shape based pedestrian detection in traffic scenes using a stereo vision system for acquiring the image frames and...
We present preliminary results of our work on an alternative approach to address correspondence in stereopsis. Accurate correspondence between two images is required to determine depth and hence, the 3D model, out of two 2D images. To achieve this, we studied the relationship among disparity, depth, camera features and data gathered from output images. We propose a level-based approach to enhance...
Stereo correspondence is the key approach to recover range information in stereo vision. Considering area matching and feature matching, the stereo correspondence approach based on edge feature is proposed in this paper. As the research object controlled by threshold binary domain, the procedure of correspondence is fulfilled by matching constraint and iterative operation, and algorithm mentioned...
To search corresponding points fast and accurately, a pair of stereo images must be rectified. A method is presented to rectify stereo pairs for uncalibrated cameras. The sampling of the original images is best preserved by penalizing minification and magnification effects. Experiments of image rectification show that this method can rectify stereo pairs accurately, and bring little image distortion.
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