editorial for the special issue on 3d data processing, visualization and transmission

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Int J Comput Vis (2012) 97:1 DOI 10.1007/s11263-011-0513-4 Editorial for the Special Issue on 3D Data Processing, Visualization and Transmission Adrien Bartoli · Marcus Magnor · Bob Fisher · Christian Theobalt Received: 1 December 2011 / Accepted: 2 December 2011 / Published online: 10 December 2011 © Springer Science+Business Media, LLC 2011 This special issue discusses new results, technologies and applications related to the capture, representation, process- ing, storage, transmission and visualization of 3D geometric and photometric models. The guest editors selected 7 papers from 128 as candi- dates for this publication. The topics of the accepted papers cover several important problems in the area of 3D vision. The first four papers discuss image registration through key- point detection and matching. “Physical Scale Keypoints: Matching and Registration for Combined Intensity/Range Images” by Smith et al. presents a method to detect and match keypoints between images for which the depth of each pixel is known. “Interesting Interest Points—A Com- parative Study of Interest Point Performance on a Unique Data Set” by Aanæs et al. presents a framework for the eval- uation of keypoint detection with ground truth, using the re- call rate as main criterion. The conference version of this paper received the Best Paper Award at 3DPVT 2010. “Im- posing Semi-Local Geometric Constraints for Accurate Cor- respondences Selection in Structure from Motion: A Game- Theoretic Perspective” by Albarelli et al. discusses the prob- A. Bartoli ( ) ISIT, Université d’Auvergne, Clermont-Ferrand, France e-mail: [email protected] M. Magnor TU Braunschweig, Braunschweig, Germany e-mail: [email protected] B. Fisher University of Edinburgh, Edinburgh, UK e-mail: [email protected] C. Theobalt MPI Informatik, Saarbruecken, Germany e-mail: [email protected] lem of keypoint matching using semi-local constraints com- putable from local image features. The conference version of this paper received the NVidia Best Student Paper Award at 3DPVT 2010. “Feature-Based Deformable Surface De- tection with Self-Occlusion Reasoning” by Pizarro et al. uses local geometric models to constrain keypoint matching for images of deformable surfaces. The next two papers deal with 3D shape inference from images. “On Camera Cali- bration with Linear Programming and Loop Constraint Lin- earization” by Courchay et al. proposes a Structure-from- Motion approach that combines partial reconstructions rep- resented by matching tensors while taking multiple overlaps into accounts. “Self-calibrated, Multi-spectral Photometric Stereo for 3D Face Capture” by Vogiatzis et al. proposes a multi-spectral 3D reconstruction system for faces with an in- tegrated calibration procedure using Structure-from-Motion. Finally, “Automatic Real-Time Video Matting Using Time- of-Flight Camera and Multichannel Poisson Equations” by Wang et al. combines color and depth to compute alpha mat- ting. We believe that this particular set of exciting papers il- lustrates how well research in the area of 3D imaging is pro- gressing. We thank the authors and the reviewers for their contributions to this special issue. Guest Editors

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Int J Comput Vis (2012) 97:1DOI 10.1007/s11263-011-0513-4

Editorial for the Special Issue on 3D Data Processing,Visualization and Transmission

Adrien Bartoli · Marcus Magnor · Bob Fisher ·Christian Theobalt

Received: 1 December 2011 / Accepted: 2 December 2011 / Published online: 10 December 2011© Springer Science+Business Media, LLC 2011

This special issue discusses new results, technologies andapplications related to the capture, representation, process-ing, storage, transmission and visualization of 3D geometricand photometric models.

The guest editors selected 7 papers from 128 as candi-dates for this publication. The topics of the accepted paperscover several important problems in the area of 3D vision.The first four papers discuss image registration through key-point detection and matching. “Physical Scale Keypoints:Matching and Registration for Combined Intensity/RangeImages” by Smith et al. presents a method to detect andmatch keypoints between images for which the depth ofeach pixel is known. “Interesting Interest Points—A Com-parative Study of Interest Point Performance on a UniqueData Set” by Aanæs et al. presents a framework for the eval-uation of keypoint detection with ground truth, using the re-call rate as main criterion. The conference version of thispaper received the Best Paper Award at 3DPVT 2010. “Im-posing Semi-Local Geometric Constraints for Accurate Cor-respondences Selection in Structure from Motion: A Game-Theoretic Perspective” by Albarelli et al. discusses the prob-

A. Bartoli (�)ISIT, Université d’Auvergne, Clermont-Ferrand, Francee-mail: [email protected]

M. MagnorTU Braunschweig, Braunschweig, Germanye-mail: [email protected]

B. FisherUniversity of Edinburgh, Edinburgh, UKe-mail: [email protected]

C. TheobaltMPI Informatik, Saarbruecken, Germanye-mail: [email protected]

lem of keypoint matching using semi-local constraints com-putable from local image features. The conference versionof this paper received the NVidia Best Student Paper Awardat 3DPVT 2010. “Feature-Based Deformable Surface De-tection with Self-Occlusion Reasoning” by Pizarro et al.uses local geometric models to constrain keypoint matchingfor images of deformable surfaces. The next two papers dealwith 3D shape inference from images. “On Camera Cali-bration with Linear Programming and Loop Constraint Lin-earization” by Courchay et al. proposes a Structure-from-Motion approach that combines partial reconstructions rep-resented by matching tensors while taking multiple overlapsinto accounts. “Self-calibrated, Multi-spectral PhotometricStereo for 3D Face Capture” by Vogiatzis et al. proposes amulti-spectral 3D reconstruction system for faces with an in-tegrated calibration procedure using Structure-from-Motion.Finally, “Automatic Real-Time Video Matting Using Time-of-Flight Camera and Multichannel Poisson Equations” byWang et al. combines color and depth to compute alpha mat-ting.

We believe that this particular set of exciting papers il-lustrates how well research in the area of 3D imaging is pro-gressing. We thank the authors and the reviewers for theircontributions to this special issue.

Guest Editors