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Comparative analysis of shape descriptors for 3D objects

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Abstract

One of the basic characteristics of an object is its shape. Several research areas in mathematics and computer science have taken an interest in object representation in both 2D images and 3D models, where shape descriptors are a powerful mechanism enabling the processes of classification, retrieval and comparison for object matching. In this paper, we present a literature survey of this broad field, including a comparative analysis based on the above shape descriptor processes. In view of their significance, we identified the shape descriptors implemented using the concept of visual salience. This paper gives an overview of this topic.

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Acknowledgments

Graciela Lara holds a PROMEP scholarship in partnership with the UDG (UDG-685), Mexico.

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  1. Módulo “O” División de Electrónica y Computación, CUCEI, Universidad de Guadalajara, Av. Revolución 1500, Col. Olímpica C.P. 44430, Guadalajara, Jalisco, Mexico

    Graciela Lara López & Adriana Peña Pérez Negrón

  2. Escuela Técnica Superior de Ingenieros Informático, Universidad Politécnica de Madrid, Madrid, Spain

    Angélica De Antonio Jiménez, Jaime Ramírez Rodríguez & Ricardo Imbert Paredes

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  1. Graciela Lara López
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Lara López, G., Peña Pérez Negrón, A., De Antonio Jiménez, A. et al. Comparative analysis of shape descriptors for 3D objects. Multimed Tools Appl 76, 6993–7040 (2017). https://doi.org/10.1007/s11042-016-3330-5

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