Eigenspace-based approach for object recognition and pose estimation

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Infrared and Laser Engineering >Volume 33 >Issue 6 >Page 592 > Article

Infrared and Laser Engineering
Vol. 33, Issue 6, 592 (2004)

Eigenspace-based approach for object recognition and pose estimation

^*, , and

Author Affiliations

[in Chinese]

show less

DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese]. Eigenspace-based approach for object recognition and pose estimation[J]. Infrared and Laser Engineering, 2004, 33(6): 592 Copy Citation Text

show less

References

[1] Arman F, Aggarwal J K. Model-based object recognition in dense range images: a review[J]. ACM Computing Surveys,1993,25(1) :5-43.

[2] Arie J B, Nandy D. A volumetric/iconic frequency domain representation for objects with application for pose invariant face recognition[J]. PAMI, 1998, 20(5): 449-457.

[3] Murase H, Shree K Nayar. Learning Object Models From Appearance[A]. Proc of AAAI[C]. Washington D C, 1993. 836-843.

[4] Murase H, Shree K Nayar. Visual learning recognition of 3D objects from appearance[J]. International Journal of Computer Vision, 1995,14(1): 5-24.

[in Chinese], [in Chinese], [in Chinese]. Eigenspace-based approach for object recognition and pose estimation[J]. Infrared and Laser Engineering, 2004, 33(6): 592

Download Citation

Tools

Save the article for my favorites

Paper Information

微信扫一扫：分享

微信扫一扫：分享