3D object recognition based on curvature information of planar views

In this paper, a 3D object recognition algorithm is proposed. Objects are recognized by studying planar images corresponding to a sequence of views. Planar shape contours are represented by their adaptively calculated curvature functions, which are decomposed in the Fourier domain as a linear combin...

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Vydáno v:Pattern recognition Ročník 36; číslo 11; s. 2571 - 2584
Hlavní autoři: de Trazegnies, C., Urdiales, C., Bandera, A., Sandoval, F.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.11.2003
Témata:
3D object recognition
Curvature functions
Hidden Markov models
Principal component analysis
3D object recognition
Curvature functions
Hidden Markov models
Principal component analysis
ISSN:0031-3203, 1873-5142
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Shrnutí:In this paper, a 3D object recognition algorithm is proposed. Objects are recognized by studying planar images corresponding to a sequence of views. Planar shape contours are represented by their adaptively calculated curvature functions, which are decomposed in the Fourier domain as a linear combination of a set of representative shapes. Finally, sequences of views are identified by means of Hidden Markov Models. The proposed system has been tested for artificial and real objects. Distorted and noisy versions of the objects were correctly clustered together.
ISSN:0031-3203
1873-5142
DOI:10.1016/S0031-3203(03)00166-3