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.
Highlights
T Real-time stereo vision has been widely used in intelligent smart human-computer interaction, robot navigation, and intelligent surveillance; it maybe becomes an important com-E ponent in the information of the video structural description [1]
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
Summary
T Real-time stereo vision has been widely used in intelligent smart human-computer interaction, robot navigation, and intelligent surveillance; it maybe becomes an important com-. We know that the algorithms in which the depth map was required to be got in real time and are always implemented by traditional software and that FPGA was usually selected as the implementation platform they run on CPU-based platforms, which, using sequential [4]. Executing a medium-sized stereo algorithm has its own limitation as it cannot get the desired vision algorithm for a single pair of images will consume effect when the processed picture contains weak texture, 5∼8 second on a 1 GHz general-purpose microprocessor. This repetitive texture, and noise; mismatching phenomenon was low frame rate results in limited applicability of stereo vision, inevitable in the result [5].
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