Visual facial Ageing Using PLS: Visual ageing of human faces in Three Dimensions using Morphable Models and Projection to Latent Structures

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dc.contributor.author Tiddeman, Bernie
dc.contributor.author Hunter, D. W.
dc.contributor.editor pp, -.
dc.date.accessioned 2010-03-17T15:16:54Z
dc.date.available 2010-03-17T15:16:54Z
dc.date.issued 2010-03-17
dc.identifier.citation Tiddeman , B & Hunter , D W 2010 , ' Visual facial Ageing Using PLS: Visual ageing of human faces in Three Dimensions using Morphable Models and Projection to Latent Structures ' . pp (ed.) , in : VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications . INSTICC Press , pp. 2009 - . en
dc.identifier.isbn 9789898111692
dc.identifier.other PURE: 158339
dc.identifier.other dspace: 2160/4470
dc.identifier.uri http://hdl.handle.net/2160/4470
dc.description Hunter, D. W., Tiddeman, B. Visual facial Ageing Using PLS: Visual ageing of human faces in Three Dimensions using Morphable Models and Projection to Latent Structures. VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, 2 (2009), pp. 340-345. eds., Alpesh Ranchordas, Helder Araújo The fourth International Conference on Computer Vision Theory and Applications (VISAPP) aims at becoming a major point of contact between research scientists, engineers and practitioners on the area of computer vision applications systems. Four simultaneous tracks will be held, covering all different aspects related to computer vision, from Image Formation to Image Understanding including Motion Analysis and Stereo Vision. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of VISAPP. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in lecturing a tutorial are invited to contact the conference secretariat. en
dc.description.abstract The ability to synthesise the effects of ageing in human faces has numerous uses from aiding the search for missing people to improving recognition algorithms and aiding surgical planning. The principal contribution of this thesis is a novel method for synthesising the visual effects of facial ageing using a training set of three-dimensional scans to train a statistical ageing model. This data-base is constructed by fitting a statistical Face Model known as a Morphable Model to a set of two dimensional photographs of a set of subjects at different age points in their lives. We verify the effectiveness of this algorithm with both quantitative and psychological evaluation. Most ageing research has concentrated on building models using two-dimensional images. This has two major shortcomings, firstly some of the information related to shape change may be lost by the projection to two-dimensions; secondly the algorithms are very sensitive to even slight variations in pose and lighting. By using standard face-fitting methods to fit a statistical face model to the image we overcome these problems by reconstructing the lost shape information, and can use a model of physical rotations and light transfer to overcome the issues of pose and rotation. We show that the three-dimensional models captured by face-fitting offer an effective method of synthesising facial ageing. The second contribution is a new algorithm for ageing a face model based on Projection to Latent Structures also known as Partial Least Squares. This method attempts to separate the training set into a set of basis vectors that best explains the shape and colour changes related to ageing from those factors within the training set that are unrelated to ageing. We show that this method is more accurate than other linear techniques at producing a face model that resembles the individual at the target age and of producing a face image of the correct perceived age. The third contribution is a careful evaluation of three well known ageing methods. We use both quantitative evaluation to determine the accuracy of the ageing method, and perceptual evaluation to determine how well the model performs in terms of perceived age increase and also identity retention. We show that linear methods more accurately capture ageing and identity information if they are trained using an individualised model, and that ageing is more accurately captured if PLS is used to train the model. en
dc.language.iso eng
dc.publisher INSTICC Press
dc.relation.ispartof VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications en
dc.title Visual facial Ageing Using PLS: Visual ageing of human faces in Three Dimensions using Morphable Models and Projection to Latent Structures en
dc.type Text en
dc.type.publicationtype Book chapter en
dc.contributor.institution Aberystwyth University en


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