3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Data and Model-Driven Selection Using Color Regions
International Journal of Computer Vision
Statistical Approaches to Feature-Based Object Recognition
International Journal of Computer Vision
On Photometric Issues in 3D Visual Recognition from aSingle 2D Image
International Journal of Computer Vision
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
Cross-Weighted Moments and Affine Invariants for Image Registration and Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representations for Recognition Under Variable Illumination
Shape, Contour and Grouping in Computer Vision
Pose-Independent Object Representation by 2-D Views
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
View synthesis under perspective projection
Multimodal interface for human-machine communication
Seat detection in a car for a smart airbag application
Pattern Recognition Letters
HyperBF networks for real object recognition
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
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Visual object recognition requires the matching of an image with a set of models stored in memory. In this paper we propose an approach to recognition in which a 3D object is represented by the linear combination of 2D images of the object. We show that this approach handles correctly rigid 3D transformations of objects with sharp as well as smooth boundaries, and can handle some non-rigid transformations. We also suggest how this linear combination property may be used in the recognition process.