Illumination planning for object recognition in structured environments
- 1 January 1994
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 10636919,p. 31-38
- https://doi.org/10.1109/cvpr.1994.323807
Abstract
This paper addresses the problem of illumination planning for robust object recognition in structured environments. Given a set of objects, the goal is to determine the illumination for which the objects are most distinguishable in appearance from each other. For each object, a large number of images is automatically obtained by varying pose and illumination. Images of all objects, together, constitute the planning image set. The planning set is compressed using the Karhunen-Loeve transform to obtain a low-dimensional subspace. For any given illumination, objects are represented as parametrized manifolds in the subspace. The minimum distance between the manifolds of too objects represents the similarity between the objects in the correlation sense. The optimal illumination is therefore one that maximizes the shortest distance between object manifolds. Results produced by the illumination planner heave been used to enhance the performance of an object recognition system.Keywords
This publication has 4 references indexed in Scilit:
- Determining the camera and light source location for a visual taskPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Face recognition using eigenfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Automatic sensor and light source positioning for machine visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Automatic planning of light source placement for an active photometric stereo systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002