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All Outputs (5)

Biological indexes based reflectional asymmetry for classifying cutaneous lesions (2011)
Journal Article
Liu, Z., Smith, L., Sun, J., Smith, M., & Warr, R. (2011). Biological indexes based reflectional asymmetry for classifying cutaneous lesions. Lecture Notes in Artificial Intelligence, 6893 LNCS(PART 3), 124-132. https://doi.org/10.1007/978-3-642-23626-6_16

This paper proposes a novel reflectional asymmetry descriptor to quantize the asymmetry of the cutaneous lesions for the discrimination of malignant melanoma from benign nevi. A pigmentation elevation model of the biological indexes is first construc... Read More about Biological indexes based reflectional asymmetry for classifying cutaneous lesions.

Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition (2011)
Presentation / Conference
Hansen, M. F., Atkinson, G., Smith, M., & Smith, L. (2011, September). Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition. Paper presented at British Machine Vision Conference 2011, Dundee, UK

We present a number of related novel methods for reducing the dimensionality of data for the purposes of 2D and 3D face recognition. Results from psychology show that humans are capable of very good recognition of low resolution images and caricature... Read More about Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition.

The photoface database (2011)
Presentation / Conference
Zafeirou, S., Hansen, M. F., Atkinson, G., Argyriou, V., Petrou, M., Smith, M., & Smith, L. (2011, June). The photoface database. Paper presented at Biometrics Workshop of Computer Vision and Pattern Recognition, Colorado Springs, Colorado, USA

Machine vision 3D skin texture analysis for detection of melanoma (2011)
Journal Article
Ding, Y., Smith, L., Smith, M., Farooq, A., Sun, J., & Warr, R. (2011). Machine vision 3D skin texture analysis for detection of melanoma. Sensor Review, 31(2), 111-119. https://doi.org/10.1108/02602281111109961

Pur ose - The ur ose of this a er is to describe innovative machine vision methods that have been em loyed for the ca ture and analysis of 3D skin textures; and the resulting otential for assisting with identification of sus icious lesions in the det... Read More about Machine vision 3D skin texture analysis for detection of melanoma.

Enhanced 3D curvature pattern and melanoma diagnosis (2011)
Journal Article
Warr, R., Zhou, Y., Smith, M., Smith, L., & Farooq, A. (2011). Enhanced 3D curvature pattern and melanoma diagnosis. Computerized Medical Imaging and Graphics, 35(2), 155-165. https://doi.org/10.1016/j.compmedimag.2010.10.004

This article describes an enhanced curvature pattern based melanoma diagnosis system using convolution techniques and ensemble classifiers. We extract the 3. D data of melanoma with a photometric stereo device first. Then differential forms of the me... Read More about Enhanced 3D curvature pattern and melanoma diagnosis.