Advances in Depth Image Analysis and Applications International Workshop, WDIA 2012, Tsukuba, Japan, November 11, 2012, Revised Selected and Invited Papers / [electronic resource] : edited by Xiaoyi Jiang, Olga Regina Pereira Bellon, Dmitry Goldgof, Takeshi Oishi. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. - 1 online resource (X, 205 p. 115 ill.) - Lecture Notes in Computer Science, 7854 0302-9743 ; .

Acquisition and Modeling of Depth Data -- Optimal Decoding of Stripe Patterns with Window Uniqueness Constraint -- A 3D Impression Acquisition System for Forensic Applications -- Impact of Thermal and Environmental Conditions on the Kinect Sensor -- A Prior-Based Approach to 3D Face Reconstruction Using Depth Images -- View-Invariant Method for Calculating 2D Optical Strain -- Processing and Analysis of Depth Data Removing Moving Objects from Point Cloud Scenes -- High Quality Novel View Synthesis Based on Low Resolution Depth Image and High Resolution Color Image -- Color Segmentation Based Depth Image Filtering -- Stereoscopic Image Inpainting Considering the Consistency of Texture Similarity -- A Dynamic MRF Model for Foreground Detection on Range Data Sequences of Rotating Multi-beam Lidar -- Posture Analysis and Range of Movement Estimation Using Depth Maps -- Fast 3D Keypoints Detector and Descriptor for View-Based 3D Objects Recognition -- Incremental Dense Reconstruction from Sparse 3D Points with an Integrated Level-of-Detail Concept -- Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data -- Applications -- Towards an Augmented Reality System for Violin Learning Support -- Extraction and Visualization of Cardiac Beat by Grid-Based Active Stereo -- An Accurate and Efficient Pile Driver Positioning System Using Laser Range Finder -- ICPR2012 Contests -- Kitchen Scene Context Based Gesture Recognition: A Contest in ICPR2012 -- Results and Analysis of the ChaLearn Gesture Challenge 2012.

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Computer science.
Artificial intelligence.
Computer graphics.
Image processing.
Pattern recognition.