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Range estimation from Intensity Gradient Analysis
1989
Machine Vision and Applications
Conventional approaches to recovering depth from gray-level imagery have involved obtaining two or more images, applying an "interest" operator, and solving the correspondence problem. Unfortunately, the computational complexity involved in feature extraction and solving the correspondence problem makes existing techniques unattractive for many real-world robotic applications. By approaching the problem from more of an engineering perspective, we have developed a new depth recovery technique
doi:10.1007/bf01212370
fatcat:ush5svkvvvhlhfucakj4cxspoe