Regularization of inverse visual problems involving discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using synthetic images to register real images with surface models
Communications of the ACM
Matching Point Features with Ordered Geometric, Rigidity, and Disparity Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated Position Estimation Using Aerial Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hopfield Neural Network Based Stereo Matching Algorithm
Journal of Mathematical Imaging and Vision
Image Map Correspondence for Mobile Robot Self-Location Using Computer Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
A NOVEL contour-based 3D terrain matching algorithm using wavelet transform
Pattern Recognition Letters
Alignment of Continuous Video onto 3D Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anthropometric 3D Face Recognition
International Journal of Computer Vision
Alignment of continuous video onto 3D point clouds
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Automatic facial expression recognition in real-time from dynamic sequences of 3D face scans
The Visual Computer: International Journal of Computer Graphics
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A terrain-matching algorithm is presented for use in a passive aircraft navigation system. A sequence of aerial images is matched to a reference digital map of the 3-D terrain. Stereo analysis of successive images results in a recovered elevation map. A cliff map is then used as a novel compact representation of the 3-D surfaces. The position and heading of the aircraft are determined with a terrain-matching algorithm that locates the unknown cliff map within the reference cliff map. The robustness of the matching algorithm is demonstrated by experimental results using real terrain data.