Paper
1 January 1987 Recovery Of Motion Parameters Using Optical Flow
Phil Greenway
Author Affiliations +
Proceedings Volume 0852, Mobile Robots II; (1987) https://doi.org/10.1117/12.968250
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
In this paper, a novel method of recovering 3D structure and motion parameters using only the apparent motion in the 2D image plane (Optical Flow) is applied to an extended sequence of (real) images. The details of the method are briefly reviewed, and a controlled laboratory image sequence used to establish its performance in practice. The magnitude and direction of the camera's linear and angular velocities are determined, together with an estimate of the depth to any point in the image. These are compared with the known (measured) values for these quantities. The effects of noisy data are examined, and it is concluded that the method is robust in the presence of image noise. Results from a longer "real" sequence are also presented-specifically of a camera flying over realistic terrain. The method is stable over time and is relatively efficient. Possible applications of this method to passive navigation and the guidance of a robot arm are also considered.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phil Greenway "Recovery Of Motion Parameters Using Optical Flow", Proc. SPIE 0852, Mobile Robots II, (1 January 1987); https://doi.org/10.1117/12.968250
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Cameras

Optical flow

Mobile robots

Image restoration

3D image processing

Fourier transforms

Matrices

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