From shape from shading to object recognition

    Authors

    A. Ortega;M. Shah

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Int. J. Pattern Recognit. Artif. Intell.

    Keywords

    shape from shading; object recognition; integration of modules; Computer Science, Artificial Intelligence

    Abstract

    Recognition of objects is one of the main goals of computer vision. Several approaches have been proposed to solve this problem using 3-D shapes. In most of them it is assumed that the 3-D shape (depth map) is available. Several object recognition systems use range images to extract the 3-D shape. We present a method that uses a shape from shading algorithm to perform 3-D object recognition for simple objects. This method extracts the 3-D information from a single intensity image, then segments the object into regions. After computing the properties of the regions, it compares the input object with the model objects in the database. To test our method, several images with slightly different viewing angles of single objects are matched against five models in the database.

    Journal Title

    International Journal of Pattern Recognition and Artificial Intelligence

    Volume

    12

    Issue/Number

    7

    Publication Date

    1-1-1998

    Document Type

    Article

    Language

    English

    First Page

    969

    Last Page

    984

    WOS Identifier

    WOS:000077403700005

    ISSN

    0218-0014

    Share

    COinS