Model-Based Target Recognition in Pulsed Ladar Imagery

Authors:
Q. Zheng;S. Der;R. Chellappa
Affiliations:
-;-;-
Venue:
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Year:
1998

Citing 4
Cited 1

On Optimally Combining Pieces of Information, with Application to Estimating 3-D Complex-Object Position from Range Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation and Classification of Range Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Interpretation Using Multiple Sensing Modalities

IEEE Transactions on Pattern Analysis and Machine Intelligence

Multi-modal image registration using local frequency representation and computer-aided design (CAD) models

Image and Vision Computing

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Abstract

A pulsed laser radar (ladar) based object recognition system with applications to automatic target recognition is reported. The approach used is to fit the sensed range images to the range templates extracted using laser physics based simulation of Computer Aided Design target models. A projection based pre-screener filters out more than 80 percent of candidate templates. An M of N pixel matching scheme for internal shape matching combined with a silhouette matching scheme is used for recognition. The system has been blind tested on a data set containing 276 real ladar images of military vehicles at various orientations and different ranges. The system achieves above 90 percent accuracy in recognition of 0.4 meters resolution ladar images.