Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Detlev Noll"'
Autor:
Detlev Noll, Werner von Seelen
Publikováno v:
Image and Vision Computing. 15:855-860
In this paper we describe a feature-based approach to object recognition. The correspondence problem is solved by optimization of an energy function. While similar approaches suffer from local minima, we derive an energy function suitable for minimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8994b790b981cf1fb2ff450911144c0
https://doi.org/10.1016/s0262-8856(97)00025-5
https://doi.org/10.1016/s0262-8856(97)00025-5
Publikováno v:
Pattern Recognition Letters. 17:335-343
In this paper we present three applications representing different approaches to car detection and tracking problems. In conjunction with problem-adequate preprocessing, artificial neural networks are utilized to solve the essential subproblems. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb01d79e34c82d9b7f313a50a8b412d
https://doi.org/10.1016/0167-8655(95)00129-8
https://doi.org/10.1016/0167-8655(95)00129-8
Publikováno v:
Mathematical and Computer Modelling. 22:163-184
We present a model-based method for object identification in images of natural scenes. It has successfully been implemented for the classification of cars based on their rear view. In a first step, characteristic features such as lines and corners ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b44841a196872b7323ffa4bb5cdb6cc
https://doi.org/10.1016/0895-7177(95)00132-l
https://doi.org/10.1016/0895-7177(95)00132-l
Publikováno v:
Proceedings of the Intelligent Vehicles `92 Symposium.
The authors have developed a vision system for automatic car following and object classification. The CARTRACK system can reliably detect, track, and identify the back of an automobile in a dynamic image taken from a following car in the same lane or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc099d2aa44d2503f5e5b79a94383159
https://doi.org/10.1109/ivs.1992.252228
https://doi.org/10.1109/ivs.1992.252228
Publikováno v:
ICCV
Various feature-based object recognition methods make use of similarity measures of features to guide the recognition process. These similarity measures often are only local in nature, meaning that the measures are derived from the local attributes o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7824090d2b721e2ab41889e36dd47c0
https://doi.org/10.1109/iccv.1993.378204
https://doi.org/10.1109/iccv.1993.378204
Publikováno v:
Proceedings of the Intelligent Vehicles '95. Symposium.
In this paper a feature and model based approach to real-time vehicle tracking and classification is described. We proceed in two steps: 1) we establish correspondence between model and image features by an optimization algorithm; and 2) based on thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09d821c71dd64accc6e2699ac9158caa
https://doi.org/10.1109/ivs.1995.528265
https://doi.org/10.1109/ivs.1995.528265
Publikováno v:
Informatik aktuell ISBN: 9783540602934
DAGM-Symposium
DAGM-Symposium
In diesem Artikel wird ein merkmalbasierter Ansatz zur echtzeichtfahigen Objektverfolgung und Klassifikation vorgestellt. In einem ersten Schritt werden Korrespondenzen zwischen Modell- und Bildmerkmalen optimiert. Anschliesend wird ein Ahnlichkeitsv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad7f4bdcf1a44db84d4257862a41580a
https://doi.org/10.1007/978-3-642-79980-8_11
https://doi.org/10.1007/978-3-642-79980-8_11
Publikováno v:
Mustererkennung 1992 ISBN: 9783540559368
DAGM-Symposium
DAGM-Symposium
We present a model-based method for object identification in images from natural scenes. It has successfully been implemented for the classification of cars based on their rear view. In a first step characteristic features such as lines and corners a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::206c6c46b7f39d2184e58f82106a32a9
https://doi.org/10.1007/978-3-642-77785-1_12
https://doi.org/10.1007/978-3-642-77785-1_12
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.