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Sheltering multi-target automatic image matting method based on camera array synthetic aperture imaging

A synthetic aperture and camera array technology, applied in image analysis, image communication, image data processing, etc., can solve the problem of poor image segmentation accuracy, improve accuracy and stability, and avoid depth and 3D reconstruction problems.

Inactive Publication Date: 2013-02-06
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of poor image segmentation accuracy of the existing methods of calculating matting in natural scenes with complex background textures based on camera arrays, the present invention provides an occluded multi-target automatic matting method based on synthetic aperture imaging of camera arrays

Method used

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  • Sheltering multi-target automatic image matting method based on camera array synthetic aperture imaging
  • Sheltering multi-target automatic image matting method based on camera array synthetic aperture imaging
  • Sheltering multi-target automatic image matting method based on camera array synthetic aperture imaging

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Embodiment Construction

[0021] The concrete steps of the inventive method are as follows:

[0022] 1. Segment the nearest neighbor target from the camera.

[0023] Estimated Depth:

[0024] Input the images taken by a group of camera arrays, first calibrate the imaging parameters, and calculate the homography matrix transformation matrix H between different viewing angles i . Use the "canny operator" for edge detection from view to view, and the edge E i Perform depth-by-depth synthesis, and count each depth synthesis image E SA The number of highlighted points on . The depth where the maximum value of the minimum depth of the greedy algorithm is used is used as the basis for depth estimation.

[0025]

[0026] Since the composite image of the binarized edge of the target should be exactly 1 in the precisely focused area without occlusion, a more accurate target depth estimate can be found by counting the number of pixels with a value of 1 in the image .

[0027] Compute the trimap of an im...

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Abstract

The invention discloses a sheltering multi-target automatic image matting method based on camera array synthetic aperture imaging, and aims to solve the technical problem that the image segmentation precision in the conventional method for execution calculation and matting in a natural scene with complicated background textures based on a camera array is low. According to the technical scheme, a depth of a target is estimated; the latest target synthesized image is segmented; and accumulated perspective synthetic imaging is executed in a space according to the depth. Due to a relative parallax, which is caused by acquisition of images by the camera array, between vision angles, image segmentation is optimized, so that a segmentation algorithm which is required to be interacted with a user is changed into automatic image segmentation; by a stereo multi-target segmentation algorithm, under the condition of a shelter, perspective segmentation is realized; and the difficulty in calculation of the depth of a background and three-dimensional reconstruction is avoided. By adopting the method for combining image color information and image contour structural information, the precision and stability of image segmentation are improved by estimating the depth and pre-segmenting an image.

Description

technical field [0001] The invention relates to an automatic image matting method for occluded multi-objects, in particular to an automatic image matting method for occluded multi-objects based on camera array synthetic aperture imaging. Background technique [0002] Object segmentation is an important problem in the field of computer vision and pattern recognition, and it has a wide range of applications in the fields of high-quality imaging and special effects. The existing target segmentation algorithms mainly include: the segmentation method based on cut-paste and the matting method based on matting. [0003] The document "Natural Video Matting using Camera Array, 2006 Siggraph" discloses a method for computing matting in natural scenes with complex background textures based on camera arrays. Due to the separation of background and foreground, the relative disparity of each view image in the array enables the acquisition of foreground objects in different parts of the b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/272G06T7/00
Inventor 杨涛张艳宁宋征玺张晓强
Owner NORTHWESTERN POLYTECHNICAL UNIV
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