Two basic problems in image interpretation are: a) determining which interpretations are the most plausible amoungst many possibilities; and b) controlling the search for plausibl...
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
We present an efficient and geometrically intuitive algorithm to reliably interpret the image velocities of moving objects in 3D. It is well known that in a small neighbourhood th...
Since most current scene understanding approaches operate
either on the 2D image or using a surface-based representation, they do
not allow reasoning about the physical constrain...
The paper focuses on the cognitive contribution of visual experiences to learning in a higher education setting. Specifically, it examines whether the use of students' imagin...