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Recognizing Large 3-D Objects Through Next View Planning Using an Uncalibrated Camera

Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
ICCV 2001 pp. 276-281
doi:10.1109/ICCV.2001.937636 /iccv/2001/roy2001iccv-recognizing/

Abstract

We present a new on-line scheme for the recognition and pose estimation of a large isolated 3-D object, which may not entirely fit in a camera's field of view. We do not assume any knowledge of the internal parameters of the camera, or their constancy. We use a probabilistic reasoning framework for recognition and next view planning. We show results of successful recognition and pose estimation even in cases of a high degree of interpretation ambiguity associated with the initial view.

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Text

Roy et al. "Recognizing Large 3-D Objects Through Next View Planning Using an Uncalibrated Camera." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.937636

Markdown

[Roy et al. "Recognizing Large 3-D Objects Through Next View Planning Using an Uncalibrated Camera." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/roy2001iccv-recognizing/) doi:10.1109/ICCV.2001.937636

BibTeX

@inproceedings{roy2001iccv-recognizing,
  title     = {{Recognizing Large 3-D Objects Through Next View Planning Using an Uncalibrated Camera}},
  author    = {Roy, Sumantra Dutta and Chaudhury, Santanu and Banerjee, Subhashis},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2001},
  pages     = {276-281},
  doi       = {10.1109/ICCV.2001.937636},
  url       = {https://mlanthology.org/iccv/2001/roy2001iccv-recognizing/}
}