Finding Wheels of Vehicles in Stereo Images.
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 stero pair of images to reduce the search space. The idea if to determine from the stero images the 3-D orientation of the plane containing the wheels, and then apply an appropriate transformation on either of the two stero 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 21, 1987
- Accession Number
- ADA194372
Entities
People
- M. Lew
- Martin McDonnell
- T. S. Huang
Organizations
- Geospatial Research Laboratory