Abstract
A new idea of using surface normal images (SNIs) for object description and recognition dealing with range images is presented. The surface normal images of an object are defined as the projected images obtained from view angles facing normal to each surface of the object. The proposed approach can significantly alleviate the difficulty involved in obtaining a correct correspondence between a scene object and a model by explicitly providing a transform for the matching. The SNI-based object description is applied to the construction of a three-dimensional (3D) object recognition system targeted for the 20 simulated objects. The operation of the overall system is shown through the experiment for various synthetic and real range images.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
