Abstract
A cross-entropy method for the classification of 3D objects with curved surfaces is proposed. In the proposed approach, small cross-entropy between the shape histograms of two objects indicates that the two objects are similar, where the shape histogram is defined as the distribution of the shape indices computed at pixels on the object. Experiments with real range images show that the cross-entropy method can be used to classify 3D objects with curved surfaces.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.