Title
Relational Match With Hybrid Minimum Error For Object Recognition Of Superquadrics
Keywords
Interpretation tree searching; Minimum error evaluation; Objects recognition; Relational match; Superquadric parts
Abstract
A novel method was proposed for the error in extracting relation characteristic of superquadric parts and the part-level object recognition on condition that the attribute describing of superquadrics is not provided with uniqueness. The method proposed integrated the relational match of minimum structure-error with the parts attribute constraints to implement the object recognition efficiently and accurately. Using the relative poses between the parts, the minimum error evaluation function was designed through synthesizing the parts attribute, relational attribute and structure-error. Then the recognition under the multi-object scene was carried out efficiently by searching the interpretation tree pruned.
Publication Date
4-20-2009
Publication Title
Xitong Fangzhen Xuebao / Journal of System Simulation
Volume
21
Issue
8
Number of Pages
2130-2134
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
65649122642 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/65649122642
STARS Citation
Huang, Fang; Fan, Xiao Ping; Xu, Fa Niu; and Qu, Zhihua, "Relational Match With Hybrid Minimum Error For Object Recognition Of Superquadrics" (2009). Scopus Export 2000s. 11935.
https://stars.library.ucf.edu/scopus2000/11935