Self-adaptive weighted stereo matching algorithm, stereo display and collecting device and system

An adaptive weighting, stereo matching technology, applied in stereo systems, image communication, electrical components, etc., to achieve the effect of reducing the number of cameras

Active Publication Date: 2012-07-11
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the matching window of the adaptive

Method used

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  • Self-adaptive weighted stereo matching algorithm, stereo display and collecting device and system
  • Self-adaptive weighted stereo matching algorithm, stereo display and collecting device and system
  • Self-adaptive weighted stereo matching algorithm, stereo display and collecting device and system

Examples

Experimental program
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Effect test

Embodiment 1

[0051] like Figure 7 As shown, an adaptive weighted stereo matching algorithm includes the following steps:

[0052] S701, S702, acquisition of binocular stereo images;

[0053] S703, selecting a pixel support window, calculating a real support window for each pixel, and for each pixel, the size and shape of the support window formed by its support pixels are different;

[0054] S704, support weight calculation within the window;

[0055] S705, calculating the cost aggregation energy function;

[0056] S706, calculating the parallax value of the pixel;

[0057] S707. Obtain the original left-to-right disparity map.

[0058] Further, as a preferred solution, an adaptive weighted stereo matching algorithm, after obtaining S707 of the original left-to-right disparity map, further includes:

[0059] S708, disparity optimization calculation, if the disparity of a pixel's left and right neighbor pixels is equal, then assign the pixel's left and right neighborhood pixel dispari...

Embodiment 2

[0062] like Image 6 As shown, a stereoscopic display acquisition device, comprising:

[0063] binocular stereo camera 601;

[0064] IEEE1394 data line 602, used to transmit image data;

[0065] A left-view image 603 and a right-view image 604 are used to store left and right images;

[0066] The disparity map estimation module 605 based on the stereo matching algorithm includes:

[0067] The pixel point support window selection module is used to calculate the real support window of each pixel. For each pixel point, the size and shape of the support window formed by its support pixels are different;

[0068] The support weight calculation module within the support window is used to calculate the support weight calculation within the support window;

[0069] The cost aggregation energy function calculation module is used for the calculation of the cost aggregation energy function;

[0070] The parallax value calculation module of the pixel is used for the calculation of th...

Embodiment 3

[0075] like Figure 8 As mentioned above, S801, setting the range of the parallax value d; S802, reading the left image; S803, taking the center pixel; S804 setting the original target support window; S805, reading the right image; S806, corresponding pixels; S807 original reference Support window setting; S808, loop judgment; S809, judge whether it is a support pixel point; S810 determine the coordinates; S811, calculate the color and space distance of the two points on the left picture; S812, calculate the color and space distance of the two points on the right picture; S813, calculate Left image weight; S815, calculate right image weight; S814, calculate original cost function; S817, S918, assign initial value; S818, S823, cost aggregate energy function calculation; S822, determine whether the loop is over; S816, S820, S821 , cyclically judge and assign values; S824, seek the minimum value; S825, obtain the initial optimal parallax; S826, filter calculation; S827, final opt...

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Abstract

The invention discloses a self-adaptive weighted stereo matching algorithm, comprising the steps of: obtaining a binocular stereo image; selecting a pixel supporting window, calculating the real supporting window of each pixel, wherein the supporting windows formed from the supported pixels have different sizes and shapes; calculating the supporting weight in the supporting window; calculating collected energy cost functions; calculating the parallax value of the pixels; and obtaining an original left-to-right parallax map. The invention also discloses a stereo display and collecting device and a system. The self-adaptive weighted stereo matching algorithm, the stereo display and collecting device and the system can be applied to the technical field of stereo display to improve the effect on stereo matching, as well as obtaining necessary three-dimensional information through less data volume.

Description

technical field [0001] The invention relates to the technical field of image display, in particular to an adaptive weighted stereo matching algorithm, a stereo display acquisition device and a system. Background technique [0002] Ordinary two-dimensional video images cannot allow users to obtain depth information from them, and viewers cannot arbitrarily choose their positions and viewing angles. Compared with ordinary 2D video, 3D video enables users to freely choose the viewing point and angle of view, and experience 3D stereoscopic vision perception. 3D video related technologies are research hotspots and difficulties in recent years. figure 1 It is the basic structure of naked-view 3D video system. 3D video system refers to a complete system from 3D video data acquisition, processing, encoding, transmission, to 3D view generation and display, involving signal processing, video compression encoding, network communication, computer graphics , computer vision and other re...

Claims

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Application Information

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IPC IPC(8): H04N13/00H04N13/02H04N13/04
Inventor 杨光临杨志超王道宪
Owner PEKING UNIV
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