Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Target indexing in SAR images using scattering centers and the Hausdorff distance
Pattern Recognition Letters
Invariant histograms and deformable template matching for SAR target recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Guest Editorial Introduction To The Special Issue On Automatic Target Detection And Recognition
IEEE Transactions on Image Processing
Predicting Performance of Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based recognition of articulated objects
Pattern Recognition Letters
Stochastic Models for Recognition of Occluded Objects
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Fingerprint Indexing Based on Novel Features of Minutiae Triplets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour-based partial object recognition using symmetry in image databases
Proceedings of the 2005 ACM symposium on Applied computing
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
Computer Vision and Image Understanding
Performance characterization in computer vision: A guide to best practices
Computer Vision and Image Understanding
Recognition of SAR occluded targets using SVM
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
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A model-based automatic target recognition (ATR) system is developed to recognize articulated and occluded objects in Synthetic Aperture Radar (SAR) images, based on invariant features of the objects. Characteristics of SAR target image scattering centers, azimuth variation, and articulation invariants are presented. The basic elements of the new recognition system are described and performance results are given for articulated, occluded and occluded articulated objects and they are related to the target articulation invariance and percent unoccluded.