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Abstract: Prior research in depth perception and perceptuo-motor calibration have primarily focused on participants completing experiments in single sessions and therefore do not empirically evaluate ...
Abstract: Depth position highly affects lens distortion, especially in close-range photography, which limits the measurement accuracy of the existing stereo vision systems. Moreover, traditional depth ...
The camera must be near-central, i.e., all observation lines must approximately pass through the same 3D point. This is because a central camera model is used for initialization. There is support for ...
Deep Neural Network (DNN)–based stereo models have become essential for depth estimation because they overcome many of the fundamental limitations of classical and geometry-based stereo algorithms.
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