A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Tracking Strategy for Monocular Depth Inference over Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Estimating the heading direction using normal flow
International Journal of Computer Vision
Shape from Texture Using Local Spectral Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational analysis of visual motion
Computational analysis of visual motion
High-speed extraction of 3D structure of selectable quality using a translating camera
Computer Vision and Image Understanding
A Kalman Filter Approach to Direct Depth Estimation Incorporating Surface Structure
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A critique of structure-from-motion algorithms
Computer Vision and Image Understanding
Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Motion and Structure from Image Sequences
Motion and Structure from Image Sequences
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Depth Estimation from Image Structure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Depth Estimation and Image Restoration Using Defocused Stereo Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Perspective on Range Finding Techniques for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of motion-parallax-based 3-D reconstruction algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Depth estimation during fixational head movements in a humanoid robot
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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In a moving agent, the different apparent motion of objects located at various distances provides an important source of depth information. While motion parallax is evident for large translations of the agent, a small parallax also occurs in most head/eye systems during rotations of the cameras. A similar parallax is also present in the human eye, so that a redirection of gaze shifts the projection of an object on the retina by an amount that depends not only on the amplitude of the rotation, but also on the distance of the object with respect to the observer. This study examines the accuracy of distance estimation on the basis of the parallax produced by camera rotations. Sequences of human eye movements were used to control the motion of a pan/tilt system specifically designed to reproduce the oculomotor parallax present in the human eye. We show that the oculomotor strategies by which humans scan visual scenes produce parallaxes that provide accurate estimation of distance. This information simplifies challenging visual tasks such as image segmentation and figure/ground segregation.