Optimal cue integration in ants

Optimal cue integration in ants.

In situations with redundant or competing sensory information, humans have been shown to perform cue integration, weighting different cues according to their certainty in a quantifiably optimal manner. Ants have been shown to merge the directional information available from their path integration (PI) and visual memory, but as yet it is not clear that they do so in a way that reflects the relat...

The Role of Task Specification in Optimal Cue Integration

A full Bayesian approach to vision requires consideration of potential interactions between all the variables in both the scene and image. A complete model of the interactions, however, seems computationally intractable because of the high dimensionality of image measurements and scene properties. As a consequence, both artificial visual systems and models of human vision have relied on a prema...

Cue Integration using

Optimal cue selection strategy

Survival in the natural world demands the selection of relevant visual cues to rapidly and reliably guide attention towards prey and predators in cluttered environments. We investigate whether our visual system selects cues that guide search in an optimal manner. We formally obtain the optimal cue selection strategy by maximizing the signal to noise ratio (SNR) between a search target and surro...

Statistical Cue Integration in DAG Deformable Models

Deformable models are a useful modeling paradigm in computer vision. A deformable model is a curve, a surface, or a volume, whose shape, position, and orientation are controlled through a set of parameters. They can represent manufactured objects, human faces and skeletons, and even bodies of fluid. With low-level computer vision and image processing techniques, such as optical flow, we extract...