A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Capture of hair geometry from multiple images
ACM SIGGRAPH 2004 Papers
Modeling hair from multiple views
ACM SIGGRAPH 2005 Papers
Analysis of human faces using a measurement-based skin reflectance model
ACM SIGGRAPH 2006 Papers
Poisson surface reconstruction
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
Hair photobooth: geometric and photometric acquisition of real hairstyles
ACM SIGGRAPH 2008 papers
Capturing hair assemblies fiber by fiber
ACM SIGGRAPH Asia 2009 papers
The Digital Emily project: photoreal facial modeling and animation
ACM SIGGRAPH 2009 Courses
High-quality single-shot capture of facial geometry
ACM SIGGRAPH 2010 papers
High resolution passive facial performance capture
ACM SIGGRAPH 2010 papers
High-quality passive facial performance capture using anchor frames
ACM SIGGRAPH 2011 papers
Multiview face capture using polarized spherical gradient illumination
Proceedings of the 2011 SIGGRAPH Asia Conference
Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Dynamic hair manipulation in images and videos
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Although facial hair plays an important role in individual expression, facial-hair reconstruction is not addressed by current face-capture systems. Our research addresses this limitation with an algorithm that treats hair and skin surface capture together in a coupled fashion so that a high-quality representation of hair fibers as well as the underlying skin surface can be reconstructed. We propose a passive, camera-based system that is robust against arbitrary motion since all data is acquired within the time period of a single exposure. Our reconstruction algorithm detects and traces hairs in the captured images and reconstructs them in 3D using a multiview stereo approach. Our coupled skin-reconstruction algorithm uses information about the detected hairs to deliver a skin surface that lies underneath all hairs irrespective of occlusions. In dense regions like eyebrows, we employ a hair-synthesis method to create hair fibers that plausibly match the image data. We demonstrate our scanning system on a number of individuals and show that it can successfully reconstruct a variety of facial-hair styles together with the underlying skin surface.