1989
DOI: 10.1016/0165-1684(89)90064-9
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The robust recognition of object primitives using local axes of symmetry

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Cited by 11 publications
(2 citation statements)
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“…In this work a simple orientation operator based on horizontal and vertical Sobel filtering was employed, as described in [16]. Local orientation, represented by an angle between 00 and 3600, ja continuous quantity and can therefore be stored and processed as a floating-point number, as in [15]- [17]. Since, however, orientation filters in natural vision systems have a relatively large response width of the order [14], relatively course, discrete binary orientation channels can be used, which leads in turn to a significant simplification of any hardware implementation of the algorithm.…”
Section: Local Orientation As Fundamental Picture Primitivementioning
confidence: 99%
“…In this work a simple orientation operator based on horizontal and vertical Sobel filtering was employed, as described in [16]. Local orientation, represented by an angle between 00 and 3600, ja continuous quantity and can therefore be stored and processed as a floating-point number, as in [15]- [17]. Since, however, orientation filters in natural vision systems have a relatively large response width of the order [14], relatively course, discrete binary orientation channels can be used, which leads in turn to a significant simplification of any hardware implementation of the algorithm.…”
Section: Local Orientation As Fundamental Picture Primitivementioning
confidence: 99%
“…In [242], local mirror symmetry is found in images by autocorrelating a local region in the image with its reflection across a mirror-axis at angle θ. A 1D function of θ is obtained describing the symmetry content of the region with respect to mirror symmetry at angle θ.…”
Section: )mentioning
confidence: 99%