We present a new active active recognition scheme (using an uncalibrated camera) based on a new idea, appearancebased aspect graphs. The scheme is robust to background clutter, and affine transformations of the object. We use a probabilistic reasoning framework which helps in probability calculations and planning the next view (when a view of the object does not contain sufficient features to recognise it unambiguously), in conjunction with a new hierarchical knowledge representation scheme. Preliminary experiments with the system show encouraging results. 1
We propose an active object recognition framework that introduces the recognition self-awareness, wh...
We describe how to model the appearance of a 3-D object using multiple views, learn such a model fro...
Abstract—In many cases, a single view of an object may not contain suf-ficient features to recognize...
3-D object recognition involves using image-computable features to identify 3-D object. A single vie...
We present an active object recognition strategy which combines the use of an attention mechanism fo...
We present an active object recognition strategy which combines the use of an attention mechanism fo...
We present an active object recognition strategy which combines the use of an attention mechanism fo...
We present an efficient method within an active vision framework for recognizing objects which are a...
We present new test results for our active object recognition algorithms. The algorithms are used to...
Many three-dimensional (3-D) object recognition strategies use aspect graphs to represent objects in...
In many cases, a single view of an object may not contain sufficient features to recognize it unambi...
We present an efficient method within an active vision framework for rec-ognizing objects which are ...
Previous approaches to recognition and attitude determination have made assumptions that limit their...
This work presents a flexible framework for recognizing 3D objects from 2D views. Similarity-based a...
Previous approaches to recognition and attitude determination have made assumptions that limit their...
We propose an active object recognition framework that introduces the recognition self-awareness, wh...
We describe how to model the appearance of a 3-D object using multiple views, learn such a model fro...
Abstract—In many cases, a single view of an object may not contain suf-ficient features to recognize...
3-D object recognition involves using image-computable features to identify 3-D object. A single vie...
We present an active object recognition strategy which combines the use of an attention mechanism fo...
We present an active object recognition strategy which combines the use of an attention mechanism fo...
We present an active object recognition strategy which combines the use of an attention mechanism fo...
We present an efficient method within an active vision framework for recognizing objects which are a...
We present new test results for our active object recognition algorithms. The algorithms are used to...
Many three-dimensional (3-D) object recognition strategies use aspect graphs to represent objects in...
In many cases, a single view of an object may not contain sufficient features to recognize it unambi...
We present an efficient method within an active vision framework for rec-ognizing objects which are ...
Previous approaches to recognition and attitude determination have made assumptions that limit their...
This work presents a flexible framework for recognizing 3D objects from 2D views. Similarity-based a...
Previous approaches to recognition and attitude determination have made assumptions that limit their...
We propose an active object recognition framework that introduces the recognition self-awareness, wh...
We describe how to model the appearance of a 3-D object using multiple views, learn such a model fro...
Abstract—In many cases, a single view of an object may not contain suf-ficient features to recognize...