17 May 2017 Holistic quaternion vector convolution filter for RGB-depth video contour detection
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Abstract
A quaternion vector gradient filter is proposed for RGB-depth (RGB-D) video contour detection. First, a holistic quaternion vector system is introduced to synthetically express the color and depth information, by adding the depth to its scalar part. Then, a convolution differential operator for quaternion vector is proposed to highlight edges with both depth and chromatic variations but restrain the gradient of intensity term. In addition, the quaternion vector gradients are adaptively weighted utilizing depth confidence measure and the quadtree decomposition of the coding tree units in the video streaming. Results on the 3-D high-efficiency video coding test sequences and quantitative simulated experiments on Berkeley segmentation datasets both indicate the availability of the proposed gradient-based method on detecting the semantic contour of the RGB-D videos.
© 2017 SPIE and IS&T
Chunli Ti, Guodong Xu, Yudong Guan, Yidan Teng, Ye Zhang, "Holistic quaternion vector convolution filter for RGB-depth video contour detection," Journal of Electronic Imaging 26(3), 033010 (17 May 2017). https://doi.org/10.1117/1.JEI.26.3.033010 . Submission: Received: 14 June 2016; Accepted: 1 May 2017
Received: 14 June 2016; Accepted: 1 May 2017; Published: 17 May 2017
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