For reaching to and grasping of an object, visual information about the object must be transformed into motor or postural commands for the arm and hand. In this paper, we present a...
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
Using virtual objects that provided haptic feedback we studied two-fingered movements of reaching to grasp and lift an object. These reach-grasp-lift movements were directed to ob...
Frank E. Pollick, Chris Chizk, Charlotte Hager-Ros...
The objective of this work is the detection of object classes, such as airplanes or horses. Instead of using a model based on salient image fragments, we show that object class det...