✦ LIBER ✦

Semantic-oriented 3d shape retrieval using relevance feedback

✍ Scribed by George Leifman; Ron Meir; Ayellet Tal

Book ID: 106046831
Publisher: Springer
Year: 2005
Tongue: English
Weight: 710 KB
Volume: 21
Category: Article
ISSN: 0178-2789
DOI: 10.1007/s00371-005-0341-z

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Probabilistic semantic network-based ima

Probabilistic semantic network-based image retrieval using MMM and relevance feedback

✍ Mei-Ling Shyu; Shu-Ching Chen; Min Chen; Chengcui Zhang; Chi-Min Shu 📂 Article 📅 2006 🏛 Springer US 🌐 English ⚖ 527 KB

Shape retrieval using 3D Zernike descrip

Shape retrieval using 3D Zernike descriptors

✍ Marcin Novotni; Reinhard Klein 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 335 KB

We advocate the usage of 3D Zernike invariants as descriptors for 3D shape retrieval. The basis polynomials of this representation facilitate computation of invariants under rotation, translation and scaling. Some theoretical results have already been summarized in the past from the aspect of patter

Learning a semantic space from user's re

Learning a semantic space from user's relevance feedback for image retrieval

✍ Xiaofei He; King, O.; Wei-Ying Ma; Mingjing Li; Hong-Jiang Zhang 📂 Article 📅 2003 🏛 IEEE 🌐 English ⚖ 714 KB

Shape alignment and shape orientation an

Shape alignment and shape orientation analysis-based 3D shape retrieval system

✍ Zhenbao Liu; Zhongsheng Wang; Cunbao Ma; Chao Zhang; Jun Mitani; Yukio Fukui 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 826 KB

Semantic force relevance feedback, conte

Semantic force relevance feedback, content-free 3D object retrieval and annotation propagation: bridging the gap and beyond

✍ Efstathios Onasoglou; Petros Daras 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 986 KB

Interactive Content-Based Image Retrieva

Interactive Content-Based Image Retrieval Using Relevance Feedback

✍ MacArthur, Sean D. (author);Brodley, Carla E. (author);Kak, Avinash C. (author); 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 198 KB

Database search engines are generally used in a one-shot fashion in which a user provides query information to the system and, in return, the system provides a number of database instances to the user. A relevance feedback system allows the user to indicate to the system which of these instances are