Objects recognition by means of projective invariants considering corner-points

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Title: Objects recognition by means of projective invariants considering corner-points
Authors: Vicente Ripoll, María Asunción | Gil, Pablo | Reinoso García, Óscar | Torres, Fernando
Research Group/s: Automática, Robótica y Visión Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad Miguel Hernández. Departamento de Ingenieria de Sistemas Industriales
Keywords: Object recognition | Corner detector | Projective invariants | Projective geometry
Knowledge Area: Ingeniería de Sistemas y Automática
Issue Date: 2002
Publisher: University of West Bohemia
Citation: VICENTE RIPOLL, María Asunción, et al. “Objects recognition by means of projective invariants considering corner-points”. Journal of WSCG. Vol. 10, No. 3 (2002). ISSN 1213-6980, pp. 129-136
Abstract: This paper presents an object recognition technique based on projective geometry for industrial pieces that satisfy geometric properties. First at all, we consider some methods of corner detection which are useful for the extraction of interest points in digital images. For object recognition by means of projective invariants, an excessive number of points to be processed supposes a greater complexity of the algorithm We present a method that allows to reduce the points extracted by different corner detection techniques, based on the elimination of non-significant points, using the estimation of the straight lines that contain those points. Secondly, these groups of points are then used to build projective invariants which allow us to distinguish one object from another. Experiments with different pieces and real images in grey-scale show the validity of this approach.
URI: http://hdl.handle.net/10045/3237
ISSN: 1213-6980 (CD-ROM) | 1213-6972 (Hardcopy) | 1213-6964 (On-line)
Language: eng
Type: info:eu-repo/semantics/article
Rights: WSGC, International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (recently Winter School of Computer Graphics). Original can be found via http://wscg.zcu.cz
Peer Review: si
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