Selecting canonical views for view-based 3-D object recognition

By Trip Denton, M. Fatih Demirci, Jeff Abrahamson, Ali Shokoufandeh, Sven J. Dickinson. 2004

48 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Abhinav Kumar Gupta
4. Ming-Hsuan Yang
5. Andrew Zisserman
6. Dacheng Tao
7. Xiaogang Wang
8. Trevor Darrell

Citations in the corpus

• Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation (2018, background): “The shape of a 3D object can be completely captured by a set of 2D images from multiple viewpoints (see [21, 4] for an analysis of selecting the location and number of viewpoints).”
• Computing iconic summaries of general visual concepts (2008, background): “This problem has been addressed both in psychology [18, 5] and computer vision literature [4, 7, 10, 23].”
• Learning about Canonical Views from Internet Image Collections (2012, methodology): “Next we find the two first modes in the GIST space using Parzen window.”
• Scene Summarization for Online Image Collections (2007, methodology): “The most popular criteria in previous work on canonical views are likelihood ([16], [28]) and orthogonality ([12], [17]).”