Image movement provides one of the most potent two-dimensional cues for depth. From motion cues alone, the brain is capable of deriving a three-dimensional representation of distant objects. For many decades, theoretical and empirical investigations into this ability have interpreted these percepts as faithful copies of the projected 3-D structures. Here we review empirical findings showing that perceived 3-D shape from motion is not veridical and cannot be accounted for by the current models. We present a probabilistic model based on a local analysis of optic flow. Although such a model does not guarantee a correct reconstruction of 3-D shape, it is shown to be consistent with human performance.

3-D structure perceived from dynamic information: A new theory / Domini, F.; Caudek, Corrado. - In: TRENDS IN COGNITIVE SCIENCES. - ISSN 1364-6613. - STAMPA. - 7:(2003), pp. 444-449. [10.1016/j.tics.2003.08.007]

3-D structure perceived from dynamic information: A new theory

CAUDEK, CORRADO
2003

Abstract

Image movement provides one of the most potent two-dimensional cues for depth. From motion cues alone, the brain is capable of deriving a three-dimensional representation of distant objects. For many decades, theoretical and empirical investigations into this ability have interpreted these percepts as faithful copies of the projected 3-D structures. Here we review empirical findings showing that perceived 3-D shape from motion is not veridical and cannot be accounted for by the current models. We present a probabilistic model based on a local analysis of optic flow. Although such a model does not guarantee a correct reconstruction of 3-D shape, it is shown to be consistent with human performance.
2003
7
444
449
Domini, F.; Caudek, Corrado
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/328545
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