Journal Article10.1109/34.61704
Estimating 3D egomotion from perspective image sequence
Wilhelm Burger,Bir Bhanu +1 more
136
TL;DR: It is shown that locating the FOE precisely is difficult when displacement vectors are corrupted by noise and errors, and a more robust performance can be achieved by computing a 2D region of possible FOE locations (termed the fuzzy FOE) instead of looking for a single-point FOE.
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Abstract: The computation of sensor motion from sets of displacement vectors obtained from consecutive pairs of images is discussed The problem is investigated with emphasis on its application to autonomous robots and land vehicles The effects of 3D camera rotation and translation upon the observed image are discussed, particularly the concept of the focus of expansion (FOE) It is shown that locating the FOE precisely is difficult when displacement vectors are corrupted by noise and errors A more robust performance can be achieved by computing a 2D region of possible FOE locations (termed the fuzzy FOE) instead of looking for a single-point FOE The shape of this FOE region is an explicit indicator of the accuracy of the result It has been shown elsewhere that given the fuzzy FOE, a number of powerful inferences about the 3D sense structure and motion become possible Aspects of computing the fuzzy FOE are emphasized, and the performance of a particular algorithm on real motion sequences taken from a moving autonomous land vehicle is shown >
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References
A computer algorithm for reconstructing a scene from two projections
TL;DR: A simple algorithm for computing the three-dimensional structure of a scene from a correlated pair of perspective projections is described here, when the spatial relationship between the two projections is unknown.
2.8K
•Book
The Interpretation of Visual Motion
Shimon Ullman
- 01 Jan 1979
TL;DR: In this paper, the authors used the methodology of artificial intelligence to investigate the phenomena of visual motion perception: how the visual system constructs descriptions of the environment in terms of objects, their three-dimensional shape, and their motion through space, on the basis of the changing image that reaches the eye.
2.1K
The interpretation of a moving retinal image
TL;DR: It is shown that from a monocular view of a rigid, textured, curved surface it is possible, in principle, to determine the gradient of the surface at any point, and the motion of the eye relative to it, from the velocity field of the changing retinal image, and its first and second spatial derivatives.
1.5K
Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces
Roger Y. Tsai,Thomas S. Huang +1 more
TL;DR: In this article, it was shown that seven point correspondences are sufficient to uniquely determine from two perspective views the three-dimensional motion parameters (within a scale factor for the translations) of a rigid object with curved surfaces.
Disparity Analysis of Images
TL;DR: An algorithm for matching images of real world scenes is presented, which quickly converges to good estimates of disparity, which reflect the spatial organization of the scene.