Analysis on a Local Approach to 3D Object Recognition

Abstract. We present a method for 3D object modeling and recognition which is robust to scale and illumination changes, and to viewpoint variations. The object model is derived from the local features extracted and tracked on an image sequence of the object. The recognition phase is based on an SVM classifier. We analyse in depth all the crucial steps of the method, and report very promising results on a dataset of 11 objects, that show how the method is also tolerant to occlusions and moderate scene clutter.

• Type: Conference
• Year: 2006
• Where: DAGM
• Authors: Elisabetta Delponte, Elise Arnaud, Francesca Odone, Alessandro Verri
• Keywords: 3D Object Modeling, DAGM 2006, Image Processing, Moderate Scene Clutter, Object Model