Object Modeling and Detection

Abstract

The acquisition and recognition of 3-D models of objects are among of the most active areas of the computer vision community. With the wide availability of a low-cost 3-D camera, a new range of applications can be considered—for example, personal robotics or augmented reality. In this chapter, we make a step in this direction by showing how 3-D models of everyday objects can be acquired much more easily than before using a Kinect. We also consider the further detection of these modeled objects in new scenes, enabling new, object-based interactions with your personal computer.KeywordsPoint CloudAugmented RealityDepth ImageIterative Close PointTable PlaneThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.