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In this paper, we propose a simple yet effective object descriptor and a novel tracking algorithm to track a target object accurately. For the object description, we divide the bounding box of a target object into multiple patches and describe them with color and gradient histograms. Then, we determine the foreground weight of each patch to alleviate the impacts of background information in the bounding...
A novel probabilistic depth-guided multi-view denoising (PDMD) algorithm is proposed in this work. We formulate the multi-view image denoising problem by considering the uncertainties in depth estimates in noisy environments. Specifically, we employ the geometric distributions of nonlocal neighbors, as well as the block similarities, to approximate the probabilities of depth estimates. We then use...
An efficient coding algorithm for depth map images and videos, based on view synthesis distortion estimation, is proposed in this work. We first analyze how a depth error is related to a disparity error and how the disparity vector error affects the energy spectral density of a synthesized color video in the frequency domain. Based on the analysis, we propose an estimation technique to predict the...
An intermediate view synthesis scheme under varying illumination conditions is proposed in this work. First, we estimate the disparity map based on cumulative color histograms. Since the cumulative histogram of an image represents the brightness ranks of pixels, the disparity estimation is robust against varying illumination conditions. More specifically, we divide each image into segments, and compute...
An efficient frame loss concealment algorithm for stereoscopic video based on the inter-view similarity of motion vectors and intensity differences is proposed in this work. Suppose that a frame at time t in the right view is lost during the transmission. To conceal its loss, we use the information in the previous frame at time t - 1 in the right view and the frames at t - 1 and t in the left view...
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