.png){kind=icon}
Return
Models from image triplets using epipolar gradient features
.png){kind=icon}
PRE
AI
DOI：10.1016/j.imavis.2006.12.021.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on the quality of the resulting model. In this work, a method is presented for quickly and reliably selecting and matching points from three views of a scene. The selected points are based on epipolar gradients, and consist of stable image features relevant to reconstruction. Then, the selected points are matched using edge transfer, a measure of geometric consistency for point triplets and the edges on which they lie. This matching scheme is tolerant to image deformations due to changes in viewpoint. Models drawn from matches obtained by the proposed technique are shown to demonstrate its usefulness. (c) 2007 Elsevier B.V. All rights reserved.
Keywords:
feature based matching
3D reconstruction
trinocular geometry
epipolar gradient
edge transfer
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.2
Papers:
4.1K
Citations:
6.7K
Organization
No organization information available
Cited Papers
The Strength of Inconel 625, Manufactured by the Method of Direct Laser Deposition under Sub-Microsecond Load Duration.png)
Metals
OAAI
MetalsIF0
OAAIShareSaveShareSaveShareSaveShareSaveShareSave
View more