Proposal of a universal test scene for depth map evaluation

Research in the area of depth map generation has been an active topic for the past few decades, but it is only recently, that depth map generation algorithms have found their way into consumer electronic devices. The issue is, that there is a lack in depth map testing environments for consumer devices which are using additional devices such as Time-of-Flight (ToF) or Infra-Red (IR cameras). For this reason, this paper introduces a new depth map testing scene suitable for consumer electronic devices, which can be reproduced by only following the instructions.

[1]  James K. Hahn,et al.  Digital Analysis and Visualization of Swimming Motion , 2011 .

[2]  W. Eric L. Grimson,et al.  Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Robert T. Collins,et al.  Vision-Based Analysis of Small Groups in Pedestrian Crowds , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Rémi Ronfard,et al.  A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..

[5]  Mubarak Shah,et al.  Identifying Behaviors in Crowd Scenes Using Stability Analysis for Dynamical Systems , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Rabab Kreidieh Ward,et al.  An H.264-based scheme for 2D to 3D video conversion , 2009, 2009 Digest of Technical Papers International Conference on Consumer Electronics.

[7]  Takeo Kanade,et al.  A Cooperative Algorithm for Stereo Matching and Occlusion Detection , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Tim Hayes Next-Generation Cell Phone Cameras , 2012 .

[9]  Alan L. Yuille,et al.  Local, global, and multilevel stereo matching , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[10]  알렉세이 포소신,et al.  Automatic face and skin beautification using face detection , 2009 .

[11]  Richard Szeliski,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.

[12]  W.A.C. Fernando,et al.  A novel depth map quality metric and its usage in depth map coding , 2011, 2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON).

[13]  Subhasis Chaudhuri,et al.  A Variational Approach to Recovering Depth From Defocused Images , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Chris Dainty Film Photography Is Dead: Long Live Film: What can Digital Photography Learn from the Film Era? , 2012, IEEE Consumer Electronics Magazine.

[15]  Jung-Hyun Lee,et al.  Moving object segmentation using motion orientation histogram in adaptively partitioned blocks for consumer surveillance system , 2012, 2012 IEEE International Conference on Consumer Electronics (ICCE).

[16]  Stéphane Herbin,et al.  Semantic hierarchies for image annotation: A survey , 2012, Pattern Recognit..

[17]  J.K. Aggarwal,et al.  Human activity analysis , 2011, ACM Comput. Surv..

[18]  Peter Lawrence,et al.  An Investigation of Methods for Determining Depth from Focus , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Pietro Perona,et al.  Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  Ganesh K. Sethi,et al.  A review on binarization algorithms for camera based natural scene images , 2012, ICACCI '12.

[21]  Peter Corcoran,et al.  Advanced hardware real time face detector , 2012, 2012 IEEE International Conference on Consumer Electronics (ICCE).

[22]  Hirokatsu Kataoka,et al.  Player position estimation by monocular camera for soccer video analysis , 2011, SICE Annual Conference 2011.

[23]  Yo-Sung Ho,et al.  Generation of ROI Enhanced Depth Maps Using Stereoscopic Cameras and a Depth Camera , 2008, IEEE Transactions on Broadcasting.

[24]  F. Albu,et al.  Low Complexity Global Motion Estimation Techniques for Image Stabilization , 2008, 2008 Digest of Technical Papers - International Conference on Consumer Electronics.

[25]  Chaminda T. E. R. Hewage,et al.  Reduced-reference quality evaluation for compressed depth maps associated with colour plus depth 3D video , 2010, 2010 IEEE International Conference on Image Processing.

[26]  James J. Little,et al.  Place Classification Using Visual Object Categorization and Global Information , 2011, 2011 Canadian Conference on Computer and Robot Vision.

[27]  Amirthalingam Ramanan,et al.  A Review of Codebook Models in Patch-Based Visual Object Recognition , 2012, J. Signal Process. Syst..

[28]  Fabio Roli,et al.  Exploiting Depth Information for Indoor-Outdoor Scene Classification , 2011, ICIAP.

[29]  Tomaso Poggio,et al.  Cooperative computation of stereo disparity , 1988 .

[30]  Michael Ying Yang,et al.  Hierarchical and spatial structures for interpreting images of man made scenes using graphical models , 2011 .

[31]  Narendra Ahuja,et al.  ROBUST VIDEO REGISTRATION APPLIED TO FIELD-SPORTS VIDEO ANALYSIS , 2012 .

[32]  Wolfgang Förstner,et al.  A hierarchical conditional random field model for labeling and classifying images of man-made scenes , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[33]  Paul Gallagher Smart-Phones Get Even Smarter Cameras [Future Visions] , 2012, IEEE Consumer Electron. Mag..

[34]  Sergio A. Velastin,et al.  A Review of Computer Vision Techniques for the Analysis of Urban Traffic , 2011, IEEE Transactions on Intelligent Transportation Systems.

[35]  Brian V. Funt,et al.  A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data , 2002, IEEE Trans. Image Process..

[36]  Takeo Kanade,et al.  A locally adaptive window for signal matching , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[37]  Peter M. Corcoran,et al.  Hybrid video-frame pre-processing architecture for HD-video , 2011, 2011 IEEE International Conference on Consumer Electronics (ICCE).

[38]  Ruigang Yang,et al.  Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[39]  Sunil Hadap,et al.  Regularized depth from defocus , 2008, 2008 15th IEEE International Conference on Image Processing.

[40]  コーコラン,ピーター,et al.  Real-time Face Tracking in a digital image acquisition device , 2007 .

[41]  Alex Pentland,et al.  A New Sense for Depth of Field , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.