Transfer between vision and haptics: Memory for 2-D patterns and 3-D objects

Memory-Based Recognition for 3-D Objects

Memory-based object recognition methods work by comparing an object against many representations stored in a memory, and nding the closest match. However matches are generally made to representations of complete objects, hence such methods tend to be sensitive to clutter and occlusion and require good global segmentation for success. We describe a method that combines an associative memory with...

Recognizing 3-D Objects Using 2-D Images

To visually recognize objects, we adopt the strategy of forming groups of image features with a bottom-up process, and then using these groups to index into a data base to nd all of the matching groups of model features. This approach reduces the computation needed for recognition, since we only consider groups of model features that can account for these relatively large chunks of the image. T...

Vision Methods for Registration : Mixing 3 D Knowledge and 2

Optimal 3-D Guidance from a 2-D Vision Sensor

This paper describes an optimal guidance policy for a vehicle to reach a relative position to a target, using information from a single fixed camera. Applying an extended Kalman filtering method, both of a velocity and a position of the vehicle relative to the target, can be estimated. However, estimates of a distance between the vehicle and the target are much worse than those of the other sta...

Dynamics Behavior 2 - D Vision 2 - D Vision Predictions

This paper describes a framework for human motion understanding , deened here as estimation of the physical state of the body (the Plant) combined with interpretation of that part of the motion that cannot be predicted by the plant alone (the Behavior). The described behavior system operates in conjunction with a real-time, fully-dynamic, 3-D person tracking system that provides a mathematicall...