A Memory- and Accuracy-Aware Gaussian Parameter-Based Stereo Matching Using Confidence Measure.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)

引用 6|浏览25
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摘要
Accurate stereo matching requires a large amount of memory at a high bandwidth, which restricts its use in resource-limited systems such as mobile devices. This problem is compounded by the recent trend of applications requiring significantly high pixel resolution and disparity levels. To alleviate this, we present a memory-efficient and robust stereo matching algorithm. For cost aggregation, we e...
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关键词
Memory management,Bandwidth,Filtering,Real-time systems,Random forests,Pattern matching,Gaussian mixture model
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