Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chen-chau Chu"'
Autor:
Jake K. Aggarwal, Chen-Chau Chu
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 15:1241-1252
We present an algorithm that integrates multiple region segmentation maps and edge maps. It operates independently of image sources and specific region-segmentation or edge-detection techniques. User-specified weights and the arbitrary mixing of regi
Autor:
Chen-Chau Chu, Jake K. Aggarwal
Publikováno v:
Machine Vision and Applications. 4:145-163
This paper presents a knowledge-based system to interpret laser radar (ladar) images. The objective of this research is to detect and recognize man-made objects in outdoor scenes. Our system applies themultisensor fusion approach to multiple ladar mo
Publikováno v:
Pattern Recognition. 23:569-581
In this work, we study ladar images of man-made objects in outdoor scenes. Our objective is to separate man-made objects from background. We explore ways to segment images from different modalities of ladar and integrate results to improve segmentati
Autor:
Jake K. Aggarwal, Chen Chau Chu
Publikováno v:
[1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application.
The authors present a knowledge-based system called AIMS (automatic interpretation system using multiple sensors) to interpret registered laser radar and thermal images. The objective is to detect and recognize man-made objects at kilometer range in
Autor:
Jian Shen, Chen-chau Chu, Tony Hurson, Guanghui Hu, Martin Kinkade, Dave Baker, Jacob A. Abraham, Gregorio Gervasio
Publikováno v:
DAC
The advanced VLIW architecture of the Equator MAP1000 processor has many features that present significant verification challenges. We describe a functional verification methodology to address this complexity. In particular, we present an efficient m
High-level tasks in image understanding are similar to many AI problems in terms of complexity and solution techniques. In particular, rule based systems have been employed for image interpretation using domain knowledge. Past research efforts on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c74de4ff2e452096c2f77ada0c3aa774
https://doi.org/10.1016/b978-0-444-81704-4.50008-9
https://doi.org/10.1016/b978-0-444-81704-4.50008-9
Autor:
Chen-Chau Chu, J. K. Aggarwal
Publikováno v:
Multisensor Fusion for Computer Vision ISBN: 9783642081354
Past research in computer vision has shown that image interpretation is a highly underconstrained task. Information fusion from multiple cues from the same image and from multiple views using the same modality have been marginally successful. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1218b3a089446a46fc7dd3d6b90b4f3
https://doi.org/10.1007/978-3-662-02957-2_3
https://doi.org/10.1007/978-3-662-02957-2_3
Publikováno v:
SPIE Proceedings.
The identification and classification of underwater acoustic signals is an extremely difficult problem because of low SNRs and a high degree of variability in the signals emanated from the same type of sound source. Since different classification tec
Publikováno v:
SPIE Proceedings.
This paper presents a knowledge-based system (KBS) for man-made object recognition and image interpretation using laser radar (ladar) images. The objective is to recognize military vehicles in rural scenes. The knowledge-based system is constructed u
Autor:
Chen-Chau Chu, Aggarwal, J.K.
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; 1993, Vol. 15 Issue 12, p1241-1252, 12p