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This paper proposes a novel method with a modified Expectation-Maximisation (EM) Algorithm to segment hand gestures in the RGB-D data captured by Kinect. With the depth map and RGB image aligned by the genetic algorithm to estimate the key points from both depth and RGB images, a novel approach is proposed to refine the edge of the tracked hand gesture, which is used to segment the RGB image of the...
This paper introduces a novel method for the depth map and RGB image alignment for Kinect. Genetic algorithm is used to estimate the key points from both depth and RGB images, and this method is robust to the uncertainties of the extracted point numbers. The experimental results demonstrated that the proposed method is capable of precisely aligning the depth and RGB images, contributes a great improvement...
Hair segmentation is challenging due to the diverse appearance, irregular region boundary and the influence of complex background. To deal with this problem, we propose a novel method, named Isomorphic Manifold Inference (IMI). Given a head-shoulder image, a Coarse Hair Probability Map (Coarse HPM), each element of which represents the probability of the pixel being hair, is initially calculated by...
Segmenting hair regions from human images facilitates many tasks like hair synthesis and hair style trends forecast. However, hair segmentation is quite challenging due to hair/background confusion and large hair pattern diversity. To address these problems to some extent, this paper proposes a novel coarse-to-fine hair segmentation method. In our approach, firstly, the recently proposed “Active Segmentation...
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior probabilities (HOPP) with a generic hair color model (GHCM) to obtain some reliable hair seed pixels. These initial seeds are further propagated to their neighborhood pixels by utilizing segmentation results of mean shift, to...
This paper presents a new stereo matching algorithm to compute dense disparity map for virtual view synthesis. The reference view is segmented using mean-shift segmentation method. An adaptive support-weights window-based approach is adopted to obtain the initial disparity map per pixel. We utilize cross-checking technique to filter out reliable correspondences and detect occlusion regions. The disparity...
A new 3-D data representation format consisting of monoscopic color video and its associated per-pixel depth information is a most promising technique applied in future three-dimensional television system. Despite many advantages of this representation, a large problem which is so-called disocclusion still exists when synthesizing one or more virtual views of a real-world scene by means of depth image...
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