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17 August 1994 High-entropy signature using optimal coding
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Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182880
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
This paper presents a high entropy signature for matching sequence images. Many signatures have been developed for registration, such as Fourier descriptor, mathematic moments, generalized Hough transform, and parametric curves. However, some common problems exist, such as high computational cost, poor self-correlation, and low entropy. We propose a signature using the smallest enclosing circle of the pattern. Translation, rotation, and scaling invariants are obtained from the properties of the smallest enclosing circle. Optimal coding is applied to achieve a higher entropy than many other signatures. The signature is constructed into a hierarchical structure. Sequential techniques can be applied in registration.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jesse S. Jin "High-entropy signature using optimal coding", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182880
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