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A new structure-from-motion ambiguity

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
Demonstrates the existence of an approximate, intrinsic ambiguity in Euclidean structure from motion (SFM) which occurs as generically as the bas-relief ambiguity but, unlike it, strengthens for scenes with more depth variation. The ambiguity does not occur in projective SFM, but the reasons for this make projective reconstructions more likely to have ...
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A Critique of Structure-from-Motion Algorithms

Computer Vision and Image Understanding, 2000
Summary: I review current approaches to structure from motion (SFM) and suggest a framework for designing new algorithms. The discussion focuses on reconstruction rather than on correspondence and on algorithms reconstructing from many images. I argue that it is important to base experiments and algorithm design on theoretical analyses of algorithm ...
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Applications of structure from motion: a survey

Journal of Zhejiang University SCIENCE C, 2013
Structure from motion (SfM) has been an active research area in computer vision for decades and numerous practical applications are benefiting from this research. While no previous work has tried to summarize the applications appearing in the literature, this paper deals with a comprehensive overview of recent applications of SfM by classifying them ...
Yingmei Wei   +3 more
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Qualitative constraints for structure-from-motion

CVGIP: Image Understanding, 1992
Summary: Existing computational models of structure-from-motion are all based on a quantitative analysis of variations in optical flow or feature point correspondences within the interiors of single objects. We present an alternative approach effective for objects rotating in depth.
William B. Thompson, James S. Painter
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Size Constancy in Structure from Motion

Perception, 1995
The relative motions of points in a structure-from-motion display involving parallel projection provide depth information in an object-centered framework: differences in velocity do not reflect differences in distance from an eyepoint. In contrast, size constancy is generally regarded to be a perspective effect, based on the relationship between ...
J, Turner, M L, Braunstein
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Structure from motion without correspondence

Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002
A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the maximum likelihood structure and motion given only the 2D measurements, integrating over all possible assignments of 3D features to 2D measurements.
Frank Dellaert   +3 more
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Acceleration-based structure-from motion

Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition, 2003
A method is presented for recovering the rotation of a moving object using both velocity and acceleration. Acceleration is a useful form of information to incorporate into a structure-from motion system. It allows the use of clustering algorithms for recovering the motion parameters of a rotating object, which in turn allows the weakening of the ...
Ian D. Horswill, William B. Thompson
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Structure from motion

2010
In the previous chapter, we saw how 2D and 3D point sets could be aligned and how such alignments could be used to estimate both a camera’s pose and its internal calibration parameters. In this chapter, we look at the converse problem of estimating the locations of 3D points from multiple images given only a sparse set of correspondences between image ...
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Structure from Motion.

1976
Abstract : Work on improving gradient-based methods for optical flow estimation has been completed. An understanding of how errors arise makes it possible to define the inherent limitations of the gradient-based technique, obtain estimates of the accuracy of computed values, enhance the performance of the technique, and demonstrate the informative ...
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Structure From Motion

1990
Publisher Summary This chapter describes the structure from motion. The changing images resulting from relative motion between an observer and surfaces in the environment constitute an important source of information about the shapes, orientations, and relative distances of these surfaces.
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