Workshop on 3D Face Processing To be held in conjunction with CVPR 2008 June 27th 2008, Anchorage, Alaska Website: http://www.cs.york.ac.uk/3dfp Contact: mailto:wsmith@cs.york.ac.uk Chairs: Volker Blanz, Baback Moghaddam, Hanspeter Pfister, Dimitris Samaras and William Smith IMPORTANT DATES: Paper submission: March 15th (after CVPR decisions) Notification: April 15th Camera ready: May 1st CALL FOR PAPERS: Estimating 3D face shape from one or more images is a longstanding goal of computer vision. In the earliest work on shape-from-shading, researchers applied their algorithms to face images with little success. Advances during the last decade have seen the development of techniques that offer robust performance on real world images. Meanwhile, advances in structured light scanning have made high-end acquisition of 3D structure and motion a reality, albeit in very controlled settings, thus making statistical techniques attractive. A clear result to come from this work is that processing 3D face shape in images requires techniques that span a number of fields. These include statistical shape modelling, non-linear optimisation, reflectance modelling, illumination estimation and shape-from-shading. These advances hold out the hope of estimating intrinsic properties of a face from single images or video streams. This is clearly attractive in the domain of face recognition where modelling appearance variation caused by large changes in pose, illumination and expression remains a key problem. Applications also lie in model acquisition for graphics applications, retouching faces in images (for example adjusting expressions or illumination conditions) or even exchanging faces between images. There is also a strong link between this work and one of the key questions in psychological studies of human face processing, that of the role played (if any) by 3D shape information. This has led to an exchange of ideas between machine vision and psychology/neuropsychology in this area which is of mutual benefit. Topics of interest include, but are not limited to, the following: * 3D morphable face models * 2D+3D active appearance models * Facial shape-from-shading and photometric stereo * Stereo for face images * Face/skin reflectance modelling * Psychological or neuropsychological investigations into the role 3D information plays in face processing in humans * Modelling variation in appearance due to 3D shape using spherical harmonics, light fields etc * Dynamic 3D face processing in video images, e.g. tracking, modelling of expressions in 3D, use of motion capture data * Real-time 3D face scanning from video * Colour information for 3D face processing * Structured light/Shape-from-X for face shape recovery * Estimation of illumination or shadowing from images * Data management for large 3D face data sets * Matching of partial or deformed scans * Fusion of multimodal face information, e.g. 3D scans, high-speed video, high-resolution imaging Applications of interest include: * Facial shape estimation * Recognition/classification using 3D information estimates from images * Facial retouching, expression/texture transfer, relighting using 3D models * Medical applications of 3D face modelling and facial expression analysis Submission Policy Papers must describe high-quality, original research. By submitting a manuscript to this workshop, authors assert that no paper substantially similar in content has been submitted to another conference or workshop during the review period.