All Outputs (3)

Facial geometry estimation using photometric stereo and profile views (2009)
Journal Article
Atkinson, G., Smith, M., Smith, L., & Farooq, A. (2009). Facial geometry estimation using photometric stereo and profile views. Lecture Notes in Artificial Intelligence, 5558 LNCS, 1-11. https://doi.org/10.1007/978-3-642-01793-3_1

This paper presents a novel method for estimating the three-dimensional shape of faces, facilitating the possibility of enhanced face recognition. The method involves a combined use of photometric stereo and profile view information. It can be divide... Read More about Facial geometry estimation using photometric stereo and profile views.

Facial reconstruction and alignment using photometric stereo and surface fitting (2009)
Journal Article
Farooq, A. R., Atkinson, G., Smith, M., & Smith, L. (2009). Facial reconstruction and alignment using photometric stereo and surface fitting. Lecture Notes in Artificial Intelligence, 5524 LNCS, 88-95. https://doi.org/10.1007/978-3-642-02172-5_13

This paper presents a novel 3D face shape capture device suitable for practical face recognition applications. A new surface fitting based face alignment algorithm is then presented to normalise the pose in preparation for recognition. The 3D data ca... Read More about Facial reconstruction and alignment using photometric stereo and surface fitting.

Obtaining malignant melanoma indicators through statistical analysis of 3D skin surface disruptions (2009)
Journal Article
Ding, Y., Smith, L., Smith, M., Sun, J., & Warr, R. (2009). Obtaining malignant melanoma indicators through statistical analysis of 3D skin surface disruptions. Skin Research and Technology, 15(3), 262-270. https://doi.org/10.1111/j.1600-0846.2009.00352.x

Background/purpose: It has been observed that disruptions in skin patterns are larger for malignant melanoma (MM) than benign lesions. In order to extend the classification results achieved for 2D skin patterns, this work intends to investigate the f... Read More about Obtaining malignant melanoma indicators through statistical analysis of 3D skin surface disruptions.