Figure segmentation method based on depth map

A technology of depth map and depth image, which is applied in the field of character segmentation based on depth map, can solve the problems of poor effect and achieve the effect of improving performance, eliminating noise interference, and eliminating interference

Inactive Publication Date: 2016-07-20
SHANGHAI UNIV
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[0004] However, these models are all calculated based on visual information such as color, or

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  • Figure segmentation method based on depth map
  • Figure segmentation method based on depth map
  • Figure segmentation method based on depth map

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Embodiment Construction

[0044] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] The simulation experiment carried out by the present invention is realized by programming on a PC test platform with a CPU of 2.6GHz and a memory of 8G.

[0046] Such as figure 1 Shown, the character segmentation method based on depth map of the present invention, its specific steps are as follows:

[0047] (1), utilize Kinect sensor to collect color image, depth image and skeleton image at the same time, such as figure 2 , image 3 , Figure 4 As shown, and find the human bone region:

[0048] (1-1), after the original bone image is divided into L connected regions, the region with the largest area is found to be the human skeleton map region. This method can eliminate a small amount of noise interference in the skeleton image;

[0049](1-2), find the smallest abscissa, the largest abscissa, the smallest ordinate and the largest o...

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Abstract

The present invention discloses a figure segmentation method based on a depth map. The method comprises the concrete steps: (1), collecting a skeleton graph, a color image and a depth map at the same time through adoption of a Kinect sensor, and finding out a human body bone area; (2) mapping node coordinates of the skeleton graph area into the depth map, finding out a minimum rectangular area including all the skeleton nodes, and determining the initial figure area in the depth map; (3) performing area iteration expansion of the initial figure area based on the depth information, and obtaining a final rectangular area including a complete figure object; and (4) taking the rectangular area including the complete figure object as a seed area, designing an energy function according to the depth information and the color information of the image pixels, and obtaining a final figure object segmentation result through adoption of a modulated GrabCut algorithm. The figure segmentation method based on a depth map is able to obtain a rectangular area including a whole figure object through adoption of depth information to obtain an accurate and complete figure object segmentation result.

Description

technical field [0001] The invention relates to the field of image person segmentation, in particular to a method for person segmentation based on a depth map. Background technique [0002] In recent years, with the rapid development of science and technology, the person-object segmentation technology has achieved rapid development. Some domestic and foreign research institutions, experts and scholars have done a lot of theoretical research and practical application work in this area, and have achieved many excellent results. the results. [0003] Hou, Zhang, and Harel et al. studied image saliency from the perspectives of frequency domain, information theory, and graph theory. Cheng et al. first used image segmentation technology to divide the image into several regions, and then used the global color contrast between regions to calculate the image saliency map, which has the advantages of high accuracy and fast speed. Liu et al. used the SLIC pre-segmentation algorithm t...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/20032
Inventor 姚东才刘志宋杭科叶林伟
Owner SHANGHAI UNIV
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