(Enter summary)
Abstract: This paper examines the construction of a 3-D surface model of an object rotating in
front of a camera. Previous research in depth from motion has demonstrated the power of
using an incremental approach to depth estimation. In this paper, we extend this approach
to more general motion and use a full 3-D surface model instead of a 2
1
= 2 -D sketch.
The algorithm starts with a flow field computed using local correlation. It then projects
individual measurements into 3-D points with associated... (Update)
Context of citations to this paper: More
.... ensure reconstruction accuracy, the method uses a calibrated camera and a computer controlled turntable, similar to the setup in [13, 32, 33, 34]. Calibration of the camera s intrinsic and extrinsic parameters can be performed using standard calibration algorithms such as [10,...
...structure, but may be distorted. Euclidean structure from a calibrated camera can be found using algorithms such as those of Szeliski [18] and Matsumoto [11] More recently, techniques have been devised for obtaining Euclidean structure from motion using an uncalibrated...
Cited by: More
Geometry of Single Axis Motions Using Conic Fitting - Jiang, Tsui, Quan, Zisserman (2003)
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Image Mosaicing for Tele-Reality Applications - Szeliski (1994)
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Reflectance and Shape from a Rotating Object - Jiping Lu Jim (1995)
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0.3: Model Acquisition Using Stochastic Projective Geometry - Robert T. Collins (1993)
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0.3: Basic Visual Capabilities - Fermüller (1993)
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BibTeX entry: (Update)
R. Szeliski. Shape from rotation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'91), pages 625--630, IEEE Computer Society Press, Maui, Hawaii, June 1991. 10 Conclusions 27 http://citeseer.ist.psu.edu/szeliski90shape.html More
@inproceedings{ szeliski91shape,
author = "R. Szeliski",
title = "Shape from rotation",
booktitle = "Proc. {IEEE} Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society Press",
pages = "625--630",
year = "1991",
url = "citeseer.ist.psu.edu/szeliski90shape.html" }
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