Representations and matching techniques for 3D free-form object and face recognition
Ajmal Saeed Mian · 2006
The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive to illumination, pose, clutter and occlusions. Object recognition from range data on the other hand does not suffer from these limitations. An important paradigm of recognition is model-based whereby 3D models of objects are constructed offline and saved in a database, using a suitable representation. During online recognition, a similar representation of a scene is matched with the database for recognizing objects present in the scene. A 3D model of a free-form object is constructed offline from its multiple range images (views) acquired from different viewpoints. These views are registered in a common coordinate basis by establishing correspondences between them followed by their integration into a seamless 3D model. Automatic correspondences between overlapping views is the major problem in 3D modeling. This problem becomes more challenging when the views are unordered and hence there is no a priori knowledge about which view pairs overlap. The main challenges in the online recognition phase