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Traffic sign, especially speed limit sign recognition is important in a driver assistance system. In this paper, a robust approach for real-time detection and recognition of speed limit sign is presented. It consists of two major steps: sign detection and sign recognition. In detection stage, Fast Radial Symmetry Transform is utilized to detect possible sign locations. Then the new method proposed,...
In this paper, we propose an example-based facial sketch hallucination approach. Given a face image, its sketch image will be automatically hallucinated by learning from a training set, which includes a lot of face images and their corresponding sketch images. Our algorithm involves three stages. In the first stage which is called ??feature extracting??, we create the feature pyramid for each face...
In this paper, we propose a new algorithm with an adaptive arbitrary support-pixel set, with an arbitrary shape and size, and adaptive support-weight according to perceptual grouping principle in the Markov random field framework. Adaptive arbitrary support-pixel set is a set of pixels which are selected based on the similarity law of the perceptual grouping principle from neighboring pixels of the...
In this paper, two new energy functions are presented to handle the slanted plane. First, the gradient information is used to get the initial disparity in a local energy function. Second, a global energy function is incorporating segment geometric constraints. To overcome the fronto-parallel model errors, the segment adjacent segments cooperative optimization is used to infer the unreliable pixel...
In this paper, a novel stereo matching algorithm for larger disparity range is proposed that a new local energy function and a new global energy function are presented, which use the gradient information and adjacent segment geometric constraint respectively. First get the reliable pixel disparity, then, infer the disparity of un-reliable pixel from the reliable pixel disparity using the neighbor...
Conventional image matching method is a correlation matching method of ergodic region, and much time should be wasted on non-optimal matching points. It is not only waste matching and calculation time but also lead to get non- matching points. Based on Multiresolution Pagoda Structure Algorithm (MPSA) and the genetic algorithm and projection algorithm, a new image matching method (GMPT) is presented...
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