| 書目名稱 | Toward Category-Level Object Recognition |
| 編輯 | Jean Ponce,Martial Hebert,Andrew Zisserman |
| 視頻video | http://file.papertrans.cn/927/926782/926782.mp4 |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | .Although research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object categories with different appearances under large variations in the observation conditions. Tremendous progress has been achieved in the past five years, thanks largely to the integration of new data representations, such as invariant semi-local features, developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical machine-learning community...This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The main goals of these two workshops were to promote the creation of an international object recognition community, with common datasets and evaluation procedures, to map the state of the art and identify the main open problems and opportunities for synergistic research, and to articulate the industrial and societal needs |
| 出版日期 | Book 2006 |
| 關(guān)鍵詞 | 3D; 3D objects; Textur; classification; cognition; cognitive computer vision; cognitive systems; computatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/11957959 |
| isbn_softcover | 978-3-540-68794-8 |
| isbn_ebook | 978-3-540-68795-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手機版|小黑屋|
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