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The paper presents an automatic traffic sign recognition system using the videos recorded from an on-board dashcam. It is based on image processing, bilateral Chinese transform, and vertex and bisector transform techniques. The images captured from the dashcam are processed with the histogram of oriented gradients to form feature vectors, followed by support vector machines to detect the traffic signs...
This paper presents a new stereo matching technique based on image bit-plane slicing and fusion. Given an 8-bit image, it can be separated to multiple images with 1-bit representation by bit-plane slicing. Instead of performing stereo matching on the original image pair, bit-plane slices are used to find stereo correspondences, followed by image fusion for the final disparity map. The main advantage...
This paper presents an image processing technique for assisting hypochromatopsia people to view the natural scenes. We propose an image enhancement approach based on the color space calculation and linear transform to adjust the color presentation, which is also called color reprint. The method can help hypochromatopsia people being able to distinguish the difference between the colors they usually...
This paper presents a novel encoding method for scene change detection and appearance-based topological localization framework. The relation computation over convex hull points is used to compare the similarity between the scenes. It relies on the relative ordering of the feature strength, not directly on the feature vectors. We first deal with multiple convex hulls over the detected features and...
This paper presents a practical optimization procedure for object detection and recognition algorithms. It is suitable for object recognition using a catadioptric omnidirectional vision system mounted on a mobile robot. We use the SIFT descriptor to obtain image features of the objects and the environment. First, sample object images are given for training and optimization procedures. Bayesian classification...
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