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In this paper, we present an integrated method for Pedestrian Detection using RGB-D camera. It is clearly that depth channel of the image can provide an extra info. In this paper, depth image is used to construct background model in order to produce an image ROI, and color image makes a texture partition. We combined the 2 steps to generate a novel framework. Using this framework, we deal with detection...
This paper presents a novel two-phase stereo matching algorithm using the random walks framework. At first, a set of reliable matching pixels is extracted with prior matrices defined on the penalties of different disparity configurations and Laplacian matrices defined on the neighbourhood information of pixels. Following this, using the reliable set as seeds, the disparities of unreliable regions...
Though a popular imaging technique, ultrasound is known for producing images filled with noise, distortions and shadowing effects. As a result, segmentation of ultrasound images require significant prior knowledge, often inserted into algorithms interactively or through shape information of the region of interest. This type of prior knowledge puts limitations on current approaches. This paper presents...
In this paper, we propose a novel variational formulation. The originality of our formulation is on the use of J-divergence (symmetrized Kullback-Leibler divergence) for the dissimilarity measure between local and global regions. The intensity of a local region is assumed to follow Gaussian distribution. Thus, two features - mean and variance of the distribution of every voxel are introduced to ensure...
This correspondence presents several parallel algorithms for image template matching on an SIMD array processor with a hypercube interconnection network. For an N by N image and an M by M window, the time complexity is reduced from O(N2M2) for the serial algorithm to O(M2/K2 + M * log2 N/K + log2 N * log2 K) for the N2K2-PE system (1 ?? K ?? M), or to O(N2M2/L2) for the L2-PE system (L ?? N). With...
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