3D human face recognition using point signature
By C. Chua, F. Han, Yeong-Khing Ho. Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2000
343 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/df256bbe43f3b74058ba69112afb2856c4bc76a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Mohammed Bennamoun
- Ajmal Saeed Mian
- Robyn A. Owens
- Kevin W. Bowyer
- Anil K. Jain
- Yulan Guo
- Min Lu
- Oncel Tuzel
In Computer Vision and Pattern Recognition
- Mohammed Bennamoun
- Ajmal Saeed Mian
- Patrick J. Flynn
- Kevin W. Bowyer
- Robyn A. Owens
- Kyong I. Chang
- Anil K. Jain
- Besma Roui-Abidi
Citations in the corpus
- Matching 2.5D face scans to 3D models (2006, background): “Chua et al. [8] extended the use of Point IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 28, NO. 1, JANUARY 2006 31 .”
- A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition (2006, neutral): “Achermann, 2000 [2] 24 240 75 · 150 Chua, 2000 [17] 6 24 Not availab”
- An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition (2007, background): “Chua et al. [13] extracted point signatures [12] of the rigid parts of the face for expression-invariant face recognition.”
- Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression (2006, background): “One is to concentrate on regions of the face whose shape changes the least with facial expression [9], [10].”
- 2D and 3D face recognition: A survey (2007, methodology): “Examples of 3D rigid face regions of three different subjects (Chua et al., 2000). directions, to describe the facial surface shape. Then, these descriptors are mapped on two unit spheres, the Extended Gaussian Images (EGI). The similarity match is performed by using the Fisher’s spherical approxima”
- Recent advances in visual and infrared face recognition - a review (2005, methodology): “In [153], the authors used point signature [154] to represent each face and treated the face recognition problem as a 3D recognition problem of non-rigid surfaces.”