Fast Learning and Detection of Edge Shapes.
Walterio Mayol-Cuevas
(University of Bristol, UK)
Abstract:
Shape representation and detection is a crucial problem in Computer Vision. In
general, finding a configuration of edges on another image is an un-tractable
problem that underpins methods that attempt to work with those pervasive
texture-less objects around us. Together with the importance of fast shape-based
object detection, is the importance to be able to quickly capture and learn
those objects.
In this talk, we will present a method developed to address these
two issues. It uses a very compact and fast to compute representation of edge
shapes and is amenable to work in low-end mobile hardware for dozens and or
hundreds of multiple-object views. We will also discuss the application of this
method within our ongoing work in egocentric perception.