Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Semi-automatic 3D Object Digitizing System Using Range Images
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of recent range image registration methods with accuracy evaluation
Image and Vision Computing
Surround Structured Lighting for Full Object Scanning
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
Point Clouds Construction Algorithm from a Home-Made Laser Scanner
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 01
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-rigid Registration in 3D Implicit Vector Space
SMI '10 Proceedings of the 2010 Shape Modeling International Conference
Calibration and reconstruction algorithms for a handheld 3D laser scanner
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Precise registration of 3D images acquired from a hand-held visual sensor
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
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We present a semi-variational approach for accurate registration of a set of range images. For each range image we estimate a transformation composed of a similarity and a free-form deformation in order to obtain a smoothly stitched surface. The resulting three-dimensional model has no jumps or sharp transitions in the place of stitching. We use the presented approach for accurate human head reconstruction from a set of facets subsequently captured from different views and computed independently. A joint energy for both types of transformations is formulated, which involves several regularization constraints defined according to a specification of the resulting surface. A strategy for reweighting the impact of correspondences is presented to improve stability and convergence of the approach. We demonstrate the applicability of our method on several representative examples.