Finding axes of skewed symmetry
Computer Vision, Graphics, and Image Processing
On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curve matching and stereo calibration
Image and Vision Computing
Object recognition through invariant indexing
Object recognition through invariant indexing
Computer Vision and Image Understanding
Detecting, localizing and grouping repeated scene elements from an image
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
ISCV '95 Proceedings of the International Symposium on Computer Vision
Recognition of Plane Projective Symmetry
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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The automation of imagery analysis processes leads to the need to detect change between pairs of aerial reconnaissance images. Approximate camera models are available for these images, accurate up to a translation, and these are augmented with further constraints relating to the task of monitoring vehicles. Horizontal, bilateral, Euclidean symmetry is used as a generic object model by which segmented curves are grouped, first in a 2-d approximation, and then in 3-d, resulting in a sparse 3-d Euclidean reconstruction of a symmetric object from a single view. The method is applied to sample images of parked aircraft.