Computer Vision - ACCV 2012 Workshops: ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part II [Paperback]

The two volume set, consisting of LNCS 7728 and 7729, contains the carefully reviewed and selected papers presented at the nine workshops that were held in conjunction with the 11th Asian Conference on Computer Vision, ACCV 2012, in Daejeon, South Korea, in November 2012.From a total of 310 papers submitted, 78 were selected for presentation. LNCS 7728 contains the papers selected for the International Workshop on Computer Vision with Local Binary Pattern Variants, the Workshop on Computational Photography and Low-Level Vision, the Workshop on Developer-Centered Computer Vision, and the Workshop on Background Models Challenge. LNCS 7729 contains the papers selected for the Workshop on e-Heritage, the Workshop on Color Depth Fusion in Computer Vision, the Workshop on Face Analysis, the Workshop on Detection and Tracking in Challenging Environments, and the International Workshop on Intelligent Mobile Vision.Historical Document Binarization Based on Phase Information of Images.- Can Modern Technologies Defeat Nazi Censorship?.- Coarse-to-Fine Correspondence Search for Classifying Ancient Coins.- Archiving Mural Paintings Using an Ontology Based Approach.- Robust Image Deblurring Using Hyper Laplacian Model.- SVD Based Automatic Detection of Target Regions for Image Inpainting.- Presentation of Japanese Cultural Event Using Virtual Reality.- High-Resolution and Multi-spectral Capturing for Digital Archiving of Large 3D Woven Cultural Artifacts.- Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera.- A Fusion Framework of Stereo Vision and Kinect for High-Quality Dense Depth Maps.- Robust Fall Detection by Combining 3D Data and Fuzzy Logic.- KinectAvatar: Fully Automatic Body Capture Using a Single Kinect.- Essential Body-Joint and Atomic Action Detection for Human Activity.- Recognition Using Longest Common Subsequence Algorithm.- Exploiting Depth and Intensity Information for Head Pose Estimation with Random Forests and TenslU