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Titolo:
Object detection and localization by dynamic template warping
Autore:
Ratan, AL; Grimson, WEL; Wells, WM;
Indirizzi:
MIT, Artificial Intelligence Lab, Cambridge, MA 02139 USA MIT Cambridge MA USA 02139 cial Intelligence Lab, Cambridge, MA 02139 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF COMPUTER VISION
fascicolo: 2, volume: 36, anno: 2000,
pagine: 131 - 147
SICI:
0920-5691(200002)36:2<131:ODALBD>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
RECOGNITION; ALGORITHM;
Keywords:
object recognition; object detection; localization; dynamic programming; mutual information;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
32
Recensione:
Indirizzi per estratti:
Indirizzo: Ratan, AL MIT, Artificial Intelligence Lab, 545 Technol Sq, Cambridge, MA 02139 USA MIT 545 Technol Sq Cambridge MA USA 02139 ambridge, MA 02139 USA
Citazione:
A.L. Ratan et al., "Object detection and localization by dynamic template warping", INT J COM V, 36(2), 2000, pp. 131-147

Abstract

A simple method is presented for detecting, localizing and recognizing instances of classes of objects, while accommodating a wide variation in an object's pose. The method utilizes a small two-dimensional template that is warped into an image, and converts localization to a one-dimensional sub-problem, with the search for a match between image and template executed by dynamic programming. For roughly cylindrical objects (like heads), the methodrecovers three of the six degrees of freedom of motion (2 translation, 1 rotation), and accommodates two more degrees of freedom in the search process (1 rotation, 1 translation). Experiments demonstrate that the method provides an efficient search strategy that outperforms normalized correlation. This is demonstrated in the example domain of face detection and localization, and can extended to more general detection tasks. An additional technique recovers rough object pose from the match results, and is used in a two stage recognition experiment in conjunction with maximization of mutual information.

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Documento generato il 05/04/20 alle ore 19:39:47