Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Descriptors for 3D Object Recognition and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Geometric invariance in computer vision
Geometric invariance in computer vision
Fusion of monocular cues to detect man-made structures in aerial imagery
CVGIP: Image Understanding
Local Invariants For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building detection and description from a single intensity image
Computer Vision and Image Understanding
Extracting buildings from aerial images using hierachical aggregation in 2D and 3D
Computer Vision and Image Understanding
Model-Based Recognition of 3D Curves From One View
Journal of Mathematical Imaging and Vision
Model-Based Recognition of 3D Objects from Single Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
International Journal of Computer Vision
A method for rectifying grid junctions in grid-coded images using cross ratio
IEEE Transactions on Image Processing
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This paper provides a novel method utilizing the recognized and verified support objects and the geometrical relationships to position a point target in an aerial image. The method benefits from requiring a small model database, representing objects simply, and shortening the time of both searching and matching the database data. Features of the support objects under translation, rotation and scale transformations as well as perspective projection are invariants. Moreover, a weighted LMedS algorithm is used to reduce noise influence and improve the accuracy of the positioning result. The experimental results demonstrate that the proposed method is effective and robust to position a point target in an aerial image.