Finding Familiar Objects and their Depth from a Single Image

Abstract

We present a classification-based method to identify objects of interest, and judge their depth in a single image. Our approach is motivated by a postulate of human depth perception that people can give a credible depth estimation for an object whose familiar size is known, even without using stereo vision. To emulate the mechanism, we categorize objects… (More)
DOI: 10.1109/ICIP.2007.4379603

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