End-to-End Learning for Omnidirectional Stereo Matching with Uncertainty Prior

Changhee Won
Changhee Won

IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2020.

Cited by: 1|Views13


In this paper, we propose a novel end-to-end deep neural network model for omnidirectional depth estimation from a wide-baseline multi-view stereo setup. The images captured with ultra-wide field-of-view cameras on an omnidirectional rig are processed by the feature extraction module, and then the deep feature maps are warped onto the con...More



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