Finding Wheels Of Vehicles In Stereo Images

M. M. McDonnell; M. Lew; T. S. Huang

doi:10.1117/12.976582

22 August 1988 Finding Wheels Of Vehicles In Stereo Images

M. M. McDonnell, M. Lew, T. S. Huang

Proceedings Volume 0938, Digital and Optical Shape Representation and Pattern Recognition; (1988) https://doi.org/10.1117/12.976582
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

In model-based recognition of vehicles, wheels can play a key role. Certainly, they are the most prominent features of a vehicle. However, finding wheels in an image is a difficult task. Generally, a wheel appears as an ellipse in an image. An obvious way of finding ellipses is to use the Hough transform. The difficulty is that the search space is 5-dimensional. This curse of dimensionality is with us no matter what method we use to search for the ellipses. We use a stereo pair of images to reduce the search space. The idea is to determine from the stereo images the 3-D orientation of the plane containing the wheels, and then apply an appropriate transformation on either of the two stereo images such that in the new image the wheels will be circular. The search space is then only 3-dimensional. In this paper we describe this approach in detail and show some experimental results.

Citation Download Citation

M. M. McDonnell, M. Lew, and T. S. Huang "Finding Wheels Of Vehicles In Stereo Images", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); https://doi.org/10.1117/12.976582

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KEYWORDS

Hough transforms

Cameras

Optical pattern recognition

Convolution

Imaging systems

Computer programming

Eye

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