The ability to match features (or graphs) many-to-many is essential for generic object recognition, in which shape similarity between two objects exists not in ...

Generic object recognition therefore requires the ability to match features many-to-many. In this paper, we will review our progress on three independent object ...

The problem of object recognition can be formulated as matching feature sets of different objects. Segmentation errors and scale difference result in many-to- ...

Apr 1, 2024 · Object categorisation is therefore formulated as finding, that is, 'detecting', a one-to-one correspondence between image and model features.

May 1, 2006 · We present a matching algorithm that establishes many-to-many correspondences between the nodes of two noisy, vertex-labeled weighted graphs.

This paper explores the problem of learning a 2-D shape class prototype from a set of object exemplars belonging to the class, in which there may be no ...

Mar 21, 2017 · How can I find multiple objects of one type on one image. I use ORB feature finder and brute force matcher (opencv = 3.2.0).

Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one.

Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one.

More generally, we need recognition frameworks that can match features many- to-many, of which grammar-based frameworks represent a powerful subclass. Until ...