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Horse Recognition: A general Approach to Object Recognition
M. Noorman,R. van den Boomgaard +1 more
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The algorithm that has been derived uses neural-network-based feature detectors to identify localcharacteristic features of a flexible object and proves to be able to generalise to a considerable extent over instances that do not meet the requirements of the training set.Abstract:
The aim of the research described in this paper has been to take an investigative step towards the development o f a general framework for object recognition. The algorithm that has been derived as a result of these explorations uses neural-network-based feature detectors to identify localcharacteristic features of a flexible object. Recognition is a re sult of finding a configuration of features detected in a given imag e that closely resembles the structure of one of a set of known instances of the object. The experiments show that the described approach applied to the object classhorse produces good recognition results for instances that meet the requirements of the training set. Fu rthermore, the method proves to be able to generalise to a considerable extent over instances that do not meet these requi re-read more
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Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Journal ArticleDOI
Local grayvalue invariants for image retrieval
Cordelia Schmid,Roger Mohr +1 more
TL;DR: This paper addresses the problem of retrieving images from large image databases with a method based on local grayvalue invariants which are computed at automatically detected interest points and allows for efficient retrieval from a database of more than 1,000 images.
Journal ArticleDOI
FORMS: a flexible object recognition and modeling system
Song-Chun Zhu,Alan L. Yuille +1 more
TL;DR: A model for generating the shapes of animate objects which gives a formalism for solving the inverse problem of object recognition and how such a representation scheme can be automatically learnt from examples is described.
Proceedings Article
Body plans
David Forsyth,Margaret M. Fleck +1 more
TL;DR: A representation for people and animals, called a body plan, which is adapted to segmentation and to recognition in complex environments is described, an organized collection of grouping hints obtained from a combination of constraints on color and texture and constraints on geometric properties.