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2021
With increasing computational capacity, it is becoming easier to simulate much of the human brain activity. Similar to left and right eyes coordination to perceive shape and distance of the surrounding objects, we can use cameras to get the images of an object from different angles and perform a popular Computer Vision technique known as Structure from
Louisa Minkin +2 more
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With increasing computational capacity, it is becoming easier to simulate much of the human brain activity. Similar to left and right eyes coordination to perceive shape and distance of the surrounding objects, we can use cameras to get the images of an object from different angles and perform a popular Computer Vision technique known as Structure from
Louisa Minkin +2 more
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Journal of the Optical Society of America A, 1991
A mobile observer samples sequences of narrow-field projections of configurations in ambient space. The so-called structure-from-motion problem is to infer the structure of these spatial configurations from the sequence of projections. For rigid transformations, a unique metrical reconstruction is known to be possible from three orthographic views of ...
J J, Koenderink, A J, van Doorn
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A mobile observer samples sequences of narrow-field projections of configurations in ambient space. The so-called structure-from-motion problem is to infer the structure of these spatial configurations from the sequence of projections. For rigid transformations, a unique metrical reconstruction is known to be possible from three orthographic views of ...
J J, Koenderink, A J, van Doorn
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IEEE Transactions on Image Processing, 2006
Planar motion is arguably the most dominant type of motion in surveillance videos. The constraints on motion lead to a simplified factorization method for structure from planar motion when using a stationary perspective camera. Compared with methods for general motion, our approach has two major advantages: a measurement matrix that fully exploits the ...
Jian, Li, Rama, Chellappa
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Planar motion is arguably the most dominant type of motion in surveillance videos. The constraints on motion lead to a simplified factorization method for structure from planar motion when using a stationary perspective camera. Compared with methods for general motion, our approach has two major advantages: a measurement matrix that fully exploits the ...
Jian, Li, Rama, Chellappa
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Odometry-Based Structure from Motion
2007 IEEE Intelligent Vehicles Symposium, 2007Structure from motion refers to a technique to obtain 3D information from consecutive images taken with a moving monocular camera. In order to do this, the camera motion performed between two consecutive images needs to be known. In the work reported in this contribution, we investigated the precision of the odometry data of a commercially available ...
Grinberg, M. +3 more
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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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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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2014 IEEE International Conference on Computational Photography (ICCP), 2014
In outdoor images, cast shadows define 3D constraints between the sun, the points casting a shadow, and the surfaces onto which shadows are cast. This cast shadow structure provides a powerful cue for 3D reconstruction, but requires that shadows be tracked over time, and this is difficult as shadows have minimal texture.
Austin Abrams +2 more
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In outdoor images, cast shadows define 3D constraints between the sun, the points casting a shadow, and the surfaces onto which shadows are cast. This cast shadow structure provides a powerful cue for 3D reconstruction, but requires that shadows be tracked over time, and this is difficult as shadows have minimal texture.
Austin Abrams +2 more
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Structure-from-Motion Revisited
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016Incremental Structure-from-Motion is a prevalent strategy for 3D reconstruction from unordered image collections. While incremental reconstruction systems have tremendously advanced in all regards, robustness, accuracy, completeness, and scalability remain the key problems towards building a truly general-purpose pipeline.
Johannes L. Schonberger +1 more
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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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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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Bayesian structure from motion
Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999Formulates structure from motion as a Bayesian inference problem and uses a Markov-chain Monte Carlo sampler to sample the posterior on this problem. This results in a method that can identify both small and large tracker errors and yields reconstructions that are stable in the presence of these errors.
D.A. Forsyth, S. Ioffe, J. Haddon
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Structure from controlled motion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996This paper deals with the recovery of 3D information using a single mobile camera in the context of active vision. First, we propose a general revisited formulation of the structure-from-known-motion issue. Within the same formalism, we handle various kinds of 3D geometrical primitives such as points, lines, cylinders, spheres, etc.
F. Chaumette +3 more
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