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The design and implementation of postprocessing for depth map on real-time extraction system.

Tang Z, Li B, Li H, Xu Z - ScientificWorldJournal (2014)

Bottom Line: Depth estimation becomes the key technology to resolve the communications of the stereo vision.Eventually, some wrong stereo matching will inevitably exist in the process of depth estimation by hardware, such as FPGA.The results in the experiments have shown that the depth map extraction and postprocessing function can be implemented in real time in the same system; what is more, the quality of the depth maps is satisfactory.

View Article: PubMed Central - PubMed

Affiliation: Shanghai University, Shanghai 200072, China ; The Third Research Institute of Ministry of Public Security, Shanghai 201204, China.

ABSTRACT
Depth estimation becomes the key technology to resolve the communications of the stereo vision. We can get the real-time depth map based on hardware, which cannot implement complicated algorithm as software, because there are some restrictions in the hardware structure. Eventually, some wrong stereo matching will inevitably exist in the process of depth estimation by hardware, such as FPGA. In order to solve the problem a postprocessing function is designed in this paper. After matching cost unique test, the both left-right and right-left consistency check solutions are implemented, respectively; then, the cavities in depth maps can be filled by right depth values on the basis of right-left consistency check solution. The results in the experiments have shown that the depth map extraction and postprocessing function can be implemented in real time in the same system; what is more, the quality of the depth maps is satisfactory.

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Related in: MedlinePlus

Epipolar geometry.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig2: Epipolar geometry.

Mentions: As shown in Figure 2, Ir and Il in the right and left images, respectively, are the projections of the same point P in the real scene, whose position displacement between the corresponding pixels is the disparity. The z presents the distance of the point P from the stereo camera that can be calculated from the disparity d through triangulation computations. We can hypothesize that the focal length of the stereo camera is f; taking the baseline b into consideration, the depth of the point P is z and can be calculated by the following formula [8]:(1)z=b·fd.


The design and implementation of postprocessing for depth map on real-time extraction system.

Tang Z, Li B, Li H, Xu Z - ScientificWorldJournal (2014)

Epipolar geometry.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4066861&req=5

fig2: Epipolar geometry.
Mentions: As shown in Figure 2, Ir and Il in the right and left images, respectively, are the projections of the same point P in the real scene, whose position displacement between the corresponding pixels is the disparity. The z presents the distance of the point P from the stereo camera that can be calculated from the disparity d through triangulation computations. We can hypothesize that the focal length of the stereo camera is f; taking the baseline b into consideration, the depth of the point P is z and can be calculated by the following formula [8]:(1)z=b·fd.

Bottom Line: Depth estimation becomes the key technology to resolve the communications of the stereo vision.Eventually, some wrong stereo matching will inevitably exist in the process of depth estimation by hardware, such as FPGA.The results in the experiments have shown that the depth map extraction and postprocessing function can be implemented in real time in the same system; what is more, the quality of the depth maps is satisfactory.

View Article: PubMed Central - PubMed

Affiliation: Shanghai University, Shanghai 200072, China ; The Third Research Institute of Ministry of Public Security, Shanghai 201204, China.

ABSTRACT
Depth estimation becomes the key technology to resolve the communications of the stereo vision. We can get the real-time depth map based on hardware, which cannot implement complicated algorithm as software, because there are some restrictions in the hardware structure. Eventually, some wrong stereo matching will inevitably exist in the process of depth estimation by hardware, such as FPGA. In order to solve the problem a postprocessing function is designed in this paper. After matching cost unique test, the both left-right and right-left consistency check solutions are implemented, respectively; then, the cavities in depth maps can be filled by right depth values on the basis of right-left consistency check solution. The results in the experiments have shown that the depth map extraction and postprocessing function can be implemented in real time in the same system; what is more, the quality of the depth maps is satisfactory.

Show MeSH
Related in: MedlinePlus