3-D object recognition through next view planning
Sarbani Roy · 2009
This paper summarises some work in active 3-D object recognition through next view planning, using an uncalibrated mobile camera. We delve on two strategies. The first is based on aspect graph-based modelling and recognition using noisy sensors. The second handles the case when the complete 3-D object does not fit into the camera's field of view. Both have a hierarchical knowledge representation scheme, and a robust probabilistic reasoning-based reactive object recognition strategy, which is scalable to memory and processing constraints. (4 pages)