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Volumn , Issue , 2011, Pages

Building a semantic part-based object class detector from synthetic 3D models

Author keywords

3D models; multi view object class detection

Indexed keywords

3D MODELS; APPEARANCE MODELS; DATA SETS; DISCRIMINATIVE LEARNING; GEOMETRIC CONFIGURATIONS; MULTI-VIEW OBJECT CLASS DETECTION; MULTI-VIEWS; OBJECT CLASS; REAL IMAGES;

EID: 80155127413     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2011.6011850     Document Type: Conference Paper
Times cited : (2)

References (18)
  • 10
    • 77953177125 scopus 로고    scopus 로고
    • Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
    • H. Su, M. Sun, L. Fei-Fei, and S. Savarese, "Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories," in IEEE International Conference on Computer Vision, 2009.
    • (2009) IEEE International Conference on Computer Vision
    • Su, H.1    Sun, M.2    Fei-Fei, L.3    Savarese, S.4
  • 12
    • 0023313631 scopus 로고
    • Three-dimensional object recognition from single two-dimensionalimages
    • David G. Lowe, "Three-dimensional object recognition from single two-dimensionalimages," Artificial Intelligence, vol. 31, 1987.
    • (1987) Artificial Intelligence , vol.31
    • Lowe, D.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.