Dynamic Programming Stereo on Real-World Sequences
作者： Zhifeng Liu , Reinhard Klette
DOI: 10.1007/978-3-642-03040-6_64
关键词: Test data 、 Data mining 、 Algorithm 、 Computer science 、 Dynamic programming 、 Ground truth 、 Value (computer science)
摘要: This paper proposes a way to approximate ground truth for real-world stereo sequences, and applies this evaluating the performance of different variants dynamic programming analysis. illustrates evaluation, also allowing derive sequence analysis diagrams. Obtained results differ from those obtained discussed algorithms on smaller, or engineered test data. shows value testing.
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sci-hub.st 参考文章(5)
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