Vision in 3D Environments.

Cover; Title; Copyright; Contents; List of Contribuotrs; 1 Seeing in three dimensions; 1.1 Structure of this volume; References; Part I Depth processing and stereopsis; 2 Physiologically based models of binocular depth perception; 2.1 Introduction; 2.2 Horizontal disparity and the energy model; 2.3 Disparity attraction and repulsion; 2.4 Vertical disparity and the induced effect; 2.5 Relative versus absolute disparity; 2.6 Phase-shift and position-shift RF models and a coarse-to-fine stereo algorithm; 2.7 Are cells with phase-shift receptive fields lie detectors?

2.8 Motion-stereo integration2.9 Interocular time delay and Pulfrich effects; 2.10 Concluding remarks; Acknowledgments; References; 3 Influence of monocular regions on the binocular perception of spatial layout; 3.1 Da Vinci stereopsis; 3.2 Monocular-gap stereopsis; 3.2.1 Nature of depth signal; 3.2.2 What constraints are used?; 3.3 Phantom stereopsis; 3.4 Ambiguous stereopsis; 3.5 Conclusions; References; 4 Information, illusion, and constancy in telestereoscopic viewing; 4.1 The concept of illusion; 4.2 The telestereoscope; 4.3 Size and disparity scaling.

4.4 Telestereoscopic viewing: two predictions4.5 Four experimental questions; 4.6 Methods and procedure; 4.7 The geometry of telestereoscopic viewing; 4.8 Results; 4.9 Summary of results; 4.10 Reconciling the conflicting results; 4.11 Conclusions; References; 5 The role of disparity interactions in perception of the 3D environment; 5.1 Introduction; 5.2 Global interactions; 5.3 Local target structure; 5.4 Psychophysical procedure; 5.5 Position tuning; 5.6 Disparity selectivity of contrast masking; 5.7 Size specificity of disparity masking.

5.8 Relationship of masking to test disparity: absoluteor relative?5.9 Computational model; 5.10 Polarity specificity of disparity masking; 5.11 The nature of disparity masking; 5.12 Relation to the 3D environment; Acknowledgments; References; 6 Blur and perceived depth; 6.1 Introduction; 6.2 Background; 6.3 Probabilistic modeling of blur as a distance cue; 6.4 Predictions of the model; 6.5 Psychophysical experiment on estimating absolutedistance from blur; 6.6 Reconsidering blur as a depth cue; References; 7 Neuronal interactions and stereo correspondence; 7.1 Introduction.

7.2 The disparity energy model7.3 How to avoid false matches; 7.4 Why do computer vision algorithms perform better?; 7.5 Neurophysiological evidence for spatial interactions; 7.6 Relationship with visual processing of contours and 2D patterns; 7.7 Conclusions; Acknowledgments; References; Part II Motion and navigation in 3D; 8 Stereoscopic motion in depth; 8.1 Introduction; 8.2 Visual cues to motion in depth; 8.3 Motion in depth from spatially uncorrelated images: effects of velocity and temporal frequency; 8.3.1 Methods; 8.3.2 Results and discussion; 8.4 Effects of density; 8.4.1 Methods.

8.4.2 Results and discussion.

Top researchers explore the latest cutting-edge research into the perception of 3D environments, presenting both biological and computational perspectives.

Print version record.

Includes bibliographical references and indexes.

English.

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