1 March 2003 Invariant object recognition under three-dimensional rotations and changes of scale
Sebastien Roy, Henri H. Arsenault, Daniel Lefebvre
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Research on object recognition invariant under out-of-plane rotations has so far yielded limited results. The problem becomes even more complex when in addition scale changes must also be taken into account. We develop a new object recognition method invariant to translations, rotations, changes of pose, and scale. The method is based on angular wedge sampling about the centroid of the object, yielding translation-, rotation-, and scale-invariant features. A modified feature space trajectory classifier is used to obtain out-of-plane rotation invariance. The method is successfully tested on models of military land vehicles and is optically implementable.
©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Sebastien Roy, Henri H. Arsenault, and Daniel Lefebvre "Invariant object recognition under three-dimensional rotations and changes of scale," Optical Engineering 42(3), (1 March 2003). https://doi.org/10.1117/1.1543158
Published: 1 March 2003
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Cited by 1 scholarly publication.
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KEYWORDS
Distance measurement

Image segmentation

Sensors

Object recognition

Optimization (mathematics)

Image classification

Databases

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