We present a novel Object Recognition approach based on affine invariant regions. It
actively counters the problems related to the limited repeatability of the region detectors, and …

Methods based on local, viewpoint invariant features have proven capable of recognizing
objects in spite of viewpoint changes, occlusion and clutter. However, these approaches fail …

Viewpoint independent recognition of free-form objects and their segmentation in the
presence of clutter and occlusions is a challenging task. We present a novel 3D model …

Abstract 'Invariant regions' are self-adaptive image patches that automatically deform with
changing viewpoint as to keep on covering identical physical parts of a scene. Such regions …

A novel approach to appearance based object recognition is introduced. The proposed
method, based on matching of local image features, reliably recognises objects under very …

Challenging object detection and segmentation tasks can be facilitated by the availability of
a reference object. However, accounting for possible transformations between the different …

We present a new approach to appearance-based object recognition, which captures the
relationships between multiple model views and exploits them to improve recognition …

The joint tasks of object recognition and object segmentation from a single image are
complex in their requirement of not only correct classification, but also deciding exactly …

We present an approach to recognition of complex objects in cluttered three-dimensional
(3D) scenes that does not require feature extraction or segmentation. Our object …

Recognition systems attempt to recover information about the identity of observed objects
and their location in the environment. A fundamental problem in recognition is pose …