In this paper, we derive new geometric invariants for structured 3D points and lines from single image under projective transform, and we propose a novel model-based 3D object recognition algorithm using them. Based on the matrix representation of the transformation between space features (points an
β¦ LIBER β¦
Object recognition using oriented model points
β Scribed by Teresa M. Silberberg; Larry S. Davis
- Publisher
- Elsevier Science
- Year
- 1986
- Weight
- 80 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0734-189X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Model-Based Object Recognition Using Geo
β
Bong Seop Song; Kyoung Mu Lee; Sang Uk Lee
π
Article
π
2001
π
Elsevier Science
π
English
β 336 KB
Object-oriented model-driven control
β
A. Drysdale; M. McRoberts; J. Sager; R. Wheeler
π
Article
π
1994
π
Elsevier Science
π
English
β 741 KB
3-D object recognition using functional
β
Tsutomu Yamamoto; Hirokazu Kato; Kosuke Sato; Seiji Inokuchi
π
Article
π
1992
π
John Wiley and Sons
π
English
β 1018 KB
## Abstract Many human activities are based on visual recognition of a scene. Development of scene recognition capability on computer is essential to the development of an intelligent robot. This paper proposes a threeβdimensional (3βD) object recognition system using functional models. In convent
2-D object recognition using multi-resol
β
Charles F. Neveu
π
Article
π
1986
π
Elsevier Science
β 155 KB
Object recognition using invariant objec
β
George N. Bebis; George M. Papadourakis
π
Article
π
1992
π
Elsevier Science
π
English
β 867 KB
Network model for invariant object recog
β
Shingchern D. You; Gary E. Ford
π
Article
π
1994
π
Elsevier Science
π
English
β 390 KB