Structure Recovery from Multiple Images by Directly Estimating the Intersections in 3-D Space
Summary :
This paper presents a new approach to the recovery of 3-D structure from multiple pairs of images from different viewpoints. Searching for the corresponding points between images, which is common in stereopsis, is avoided. Extracted edges from input images are projected back into 3-D space, and their intersections are calculated directly. Many false intersections may appear, but if we have many pair images, true intersections are extracted by appropriate thresholding. Octree representation of the intersections enables this approach. We consider a way to treat adjacent edge piexels as a line segment rather than as individual points, which differs from previous works and leads to a new algorithm. Experimental results using both synthetic and actual images are also described.
- Publication
- IEICE TRANSACTIONS on Information Vol.E77-D No.9 pp.966-972
- Publication Date
- 1994/09/25
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Issue on 3D Image Processing)
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Shinjiro KAWATO, "Structure Recovery from Multiple Images by Directly Estimating the Intersections in 3-D Space" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 9, pp. 966-972, September 1994, doi: .
Abstract: This paper presents a new approach to the recovery of 3-D structure from multiple pairs of images from different viewpoints. Searching for the corresponding points between images, which is common in stereopsis, is avoided. Extracted edges from input images are projected back into 3-D space, and their intersections are calculated directly. Many false intersections may appear, but if we have many pair images, true intersections are extracted by appropriate thresholding. Octree representation of the intersections enables this approach. We consider a way to treat adjacent edge piexels as a line segment rather than as individual points, which differs from previous works and leads to a new algorithm. Experimental results using both synthetic and actual images are also described.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_9_966/_p
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@ARTICLE{e77-d_9_966,
author={Shinjiro KAWATO, },
journal={IEICE TRANSACTIONS on Information},
title={Structure Recovery from Multiple Images by Directly Estimating the Intersections in 3-D Space},
year={1994},
volume={E77-D},
number={9},
pages={966-972},
abstract={This paper presents a new approach to the recovery of 3-D structure from multiple pairs of images from different viewpoints. Searching for the corresponding points between images, which is common in stereopsis, is avoided. Extracted edges from input images are projected back into 3-D space, and their intersections are calculated directly. Many false intersections may appear, but if we have many pair images, true intersections are extracted by appropriate thresholding. Octree representation of the intersections enables this approach. We consider a way to treat adjacent edge piexels as a line segment rather than as individual points, which differs from previous works and leads to a new algorithm. Experimental results using both synthetic and actual images are also described.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Structure Recovery from Multiple Images by Directly Estimating the Intersections in 3-D Space
T2 - IEICE TRANSACTIONS on Information
SP - 966
EP - 972
AU - Shinjiro KAWATO
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 1994
AB - This paper presents a new approach to the recovery of 3-D structure from multiple pairs of images from different viewpoints. Searching for the corresponding points between images, which is common in stereopsis, is avoided. Extracted edges from input images are projected back into 3-D space, and their intersections are calculated directly. Many false intersections may appear, but if we have many pair images, true intersections are extracted by appropriate thresholding. Octree representation of the intersections enables this approach. We consider a way to treat adjacent edge piexels as a line segment rather than as individual points, which differs from previous works and leads to a new algorithm. Experimental results using both synthetic and actual images are also described.
ER -
English
