Memory-Efficient Parametric Semiglobal Matching.

IEEE Signal Processing Letters(2018)

引用 18|浏览48
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摘要
Accurate stereo matching for depth extraction requires a large memory space, which restricts its use in resource-limited systems. The problem is aggravated by the recent trend of applications requiring significantly high pixel resolution and disparity levels. To alleviate the high memory requirement, we propose to represent the aggregation costs as a Gaussian mixture model (GMM) function. Only a s...
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关键词
Memory management,Signal processing algorithms,Kernel,Filtering,Standards,Gaussian mixture model
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