Abstract
This chapter starts by addressing the impact of the inaccurate camera system alignment on the spatial reconstruction accuracy and stereo perception. An experimental study is described, using a stereoscopic camera setup and its deterministic relations derived by trigonometry, spatial model, and basic stereoscopic formulas. The significance of errors that can occur for possible cameras system setup is analyzed in order to find the appropriate settings and physical constraints of the camera system, which minimize the error. Then, the chapter presents an overview of the compression tools used in current stereoscopic and multiview video encoders. It includes the stereoscopic frame-compatible formats using spatial multiplex in the side-by-side and top-and-bottom fashion; the video plus depth representation, the layered coding approach, and multiview encoding. Furthermore, an extension of multiview video compression for the arbitrary camera arrangements is presented. The current status of MPEG exploration experiments of next-generation video codec technologies is also outlined in the last section. First, the UltraHD compression performance beyond HEVC is presented and second, the recent developments in HDR/WCG format conversion and coding are presented. Finally, the testing procedures and 3D projection formats for 360° video are addressed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Sin-Yi, J., Chang, N.Y.-C., Chin-Chia, W., Cheng-Hei, W., Kai-Tai, S.: Error analysis and experiments of 3D reconstruction using a RGB-D sensor. In: IEEE International Conference CASE. Taipei (2014)
Belhaoua, A., Kohler, S., Hirsh, E.: Estimation of 3D reconstruction errors in a stereovision system. In: Proceedings Modeling Aspects in Optical Metrology. Mnich, Germany (2009)
Kyt, M., Nuutinen, M., Oittinen, P.: Method for measuring stereo camera depth accuracy based on stereoscopic vision. In: Proceedings of SPIE 7864. San Francisco, California, USA, (2011)
Knight, J., Reid, I.: Active visual alignment of a mobile stereo camera platform. In: IEEE International Conference on Robotics and Automation Proceedings (ICRA). San Francisco, CA (2000)
Resko, B., Baranyi, P.: Stereo camera alignment based on disparity selective cells in the visual cortex. In: IEEE 3rd International Conference on Computational Cybernetics (ICCC) (2005)
Chang, C., Chatterjee, S.: Quantization error analysis in stereovision. In: 26th Conference on Signals, Systems & Computers. Pacific Grove, CA (1992)
Fooladgar, F., Samavi, S., Soroushmehr, S.M.R.: Geometrical analysis of altitude estimation error caused by pixel quantization in stereo vision. In: 20th Iranian Conference on Electrical Engineering (ICEE). Tehran, Iran (2012)
Belhaoua, A., Kohler, S., Hirsh, E.: Error evaluation in a stereovision-based 3D reconstruction system. EURASIP J Image Video Process 2010, 1–12 (2010)
Kamencay, P., Breznan, M., Jarina, R., Lukac, P., Zachariasova, M.: Improved depth map estimation from stereo images based on hybrid method. Radioengineering 21(1), 70–78 (2012)
Chang, W., Cho, K., Ryu, W., Lee, S.-Y.: Error cost function for mirror-based three-dimensional reconstruction. Electron. Lett. 50(16), 1134–1136 (2014)
Fooladgar, F., Samavi, S., Soroushmehr, S.M.R., Shirani, S.: Geometrical Analysis of Localization Error in Stereo Vision Systems. IEEE Sens. J. 13(11), 4236–4246 (2013)
Zhao, W., Nandhakumar, N.: Effects of camera alignment errors on stereoscopic depth estimates. Pattern Recogn. 29(12), 2115–2126 (1996)
Ding, X., Xu, L., Wang, H., Wang, X., Lv, G.: Stereo depth estimation under different camera calibration and alignment errors. Appl. Opt. 50(10), 1289–1301 (2011)
Bolecek, L., Ricny, V.: Influence of stereoscopic camera system alignment error on the accuracy of 3D reconstruction. Radioengineering 24(2), 610–620 (2015)
Craig,J.: Introduction to Robotics: Mechanics and Control, 3rd edn. Pearson, Prentice Hall (2004)
Wheatstone, C.: Contributions to the physiology of vision I: on some remarkable and hitherto unobserved phenomena of vision. Phil. Trans. R. Soc. (Biol.) 18(13), 371–375 (1838)
Angueira, P., Vega, D.L.L., Morgade, J., Velez, M.M.: Transmission of 3D Video over Broadcasting. In: Zhu, C., Zhao, Y., Yu, L., Tanimoto, M. (eds.) 3D-TV system with depth-image-based rendering, pp. 299–344. Springer, Heidelberg (2012)
Lebreton, P., Barkowsky, M., Raake, A., Callet, P.L.: 3D Video In: Möller, S., Ra-Ake, A. (eds.) Quality of Experience Advanced Concepts, Applications and Methods, pp. 299–313. Springer, Heidelberg (2014)
Liu, Y., Yang, J., Chu, R.: Objective evaluation criteria for shooting quality of stereo cameras over short distance. Radioengineering 24(1), 305–313 (2015)
Merkle, P., Muller, K., Wiegand, T.: 3D Video: acquisition, coding, and display. IEEE Trans. Consumer Electro. 56(2), 946–950 (2010)
Slanina, M., Kratochvil, T., Ricny, V., Bolecek, L., Kaller, O., Polak, L.: Testing QoE in different 3D HDTV technologies. Radioengineering 21(1), 445–454 (2012)
Polak, L., Kufa, J., Zach, O., Kaller, O., Bolecek, L., Slanina, M., Kratochvil, T.: Study of advanced compression tools for stereoscopic video by objective metrics. In: 26th international conference on Radioelektronika. Kosice, Slovakia (2016)
Vetro, A., Tourapis, A.M., Müller, K., Chen, T.: 3D-TV content storage and transmission. In: IEEE Trans Broadcast Spec Issue 3D-TV Horizon: Contents System Visual Percept, 57(2), 384–394 (2011)
(2012) Digital Video Broadcasting (DVB); Frame Compatible Plano-stereoscopic 3DTV. ETSI TS 101 547, v1.1.1
(2013) Features of Three-Dimensional Television Video Systems for Broadcasting. ITU-R BT 2160–4, v1.1.1
Projector guide, Simple Guide in Process of choosing a Projector. Available online at: http://projector-guide.com/3d-dlp/side-by-side-three-d
Sound&Vision.: 3D Broadcast Formats. Available online at:http://www.soundandvision.com/content/3d-broadcast-formats#L5R1U1cc60v48GWT.97
Minoli, D.: 3DTV content capture, encoding and transmission building the transport infrastructure for commercial services. T&F Group, Boca Raton (2010)
Livolsi, B.: What Does “3D Ready” Mean? Dispelling the Myths about 3D Projection. Available online at: http://www.projectorcentral.com/what_does_3d_ready_mean.htm. (2010)
Merkle, P., Smolic, A., Muller, K., Wiegand, T.: Multi-view video plus depth representation and coding. In: 14th International Conference on ICIP. San Antonio, Texas (U.S.A.) (2007)
Müller, K., Merkle, P., Wiegand, T.: 3D video representation using depth maps. Proc. IEEE 99(4), 643–656 (2011)
Vetro, A.: Frame compatible formats for 3D video distribution. In: 17th international conference on ICIP. Hong Kong, People’s Republic of China (2010)
Smolic, A., et al.: Coding algorithms for 3DTV—a survey. IEEE Trans. Circuits Syst. Video Technol. 17(11), 1606–1621 (2007)
Bing, B.: Next Generation Video Coding and Streaming. Wiley, New York (2015)
Su, G.-M., Lai, Y.-C., Kwasinski, A., Wang, H.: 3D Visual Communications. Willey, UK (2013)
Aflaki, P., Hannuksela, M.M., Hakkinen, J,, Lindroos, P., Gabbouj. M.: Subjective study on compressed asymmetric stereoscopic video. In: 17th International Conference on ICIP. Hong Kong, People’s Republic of China (2010)
(2014) The International Telecommunication Union (ITU-T); Advanced video coding for generic audiovisual services. ITU-T Rec. H.264
VideoLAN Organization.: x264 free software library. Available online at:http://www.videolan.org/developers/x264.html
Fraunhofer, H.H.I.: H.264/AVC Software Coordination. Available online at: http://iphome.hhi.de/suehring/tml
Vetro, A., Wiegand, T., Sullivan, G.J.: Overview of the stereo and multiview video coding extensions of the H.264/MPEG-4 AVC Standard. In: IEEE Proceedings, 99(4), 626–642 (2011)
VideoHelp – Forum.: Guides, Software. FRIM 3D-MVC Encoder/Decoder 1.26. Available online at: http://www.videohelp.com/software/FRIM
Muprhy, C.: Multiview Video Coding: H.264 Annex H (JMVC). Available online at: https://github.com/cmurphy/JMVC
Sullivan, G.J., Ohm, J.R., Han, W.J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649–1668 (2012)
Fraunhofer, H.H.I.: High Efficiency Video Coding (HEVC). Available online at: https://hevc.hhi.fraunhofer.de
Sullivan, G.J., et al.: Standardized extensions of high efficiency video coding. IEEE J. Sel. Topics Signal Process 7(6), 1001–1016 (2013)
Fraunhofer, H.H.I.: Multiview High Efficiency Video Coding (MV-HEVC). Available online at: https://hevc.hhi.fraunhofer.de/mvhevc
FFmpeg.: Cross-Platform Solution to Record, Convert and Stream Audio and Video. Available online:http://ffmpeg.org/download.html
Cheng, E., Burton, P., Burton, J., Joseski, A., Burnett, I.: RMIT3DV: Pre-Announcement of a Creative Commons Uncompressed HD 3D Video Database. In: 4th international workshop on QoMEX. Melbourne, Australia (2012)
Domanski, M., Grajek, T., Klimaszewski, K., et al.: Poznan Multiview Video Test Sequences and Camera Parameters. ISO/IEC JTC1/SC29/WG11 MPEG 2009/M17050. Xian, China (2009)
(2008) Subjective video quality assessment methods for multimedia applications. ITU-T Rec P 910
Zach, O., Slanina, M.: A matlab-based tool for video quality evaluation without reference. Radioengineering 23(1), 405–411 (2014)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process 13(4), 600–612 (2004)
Pinson, M.H., Wolf, S.: A new standardized method for objectively measuring video quality. IEEE Trans on Broadcast 50(3), 312–322 (2004)
Yasakethu, S.L.P., et al.: Quality analysis for 3D video using 2D video quality models. IEEE Trans. Consum. Electro 54(4), 1969–1976 (2008)
Saygli, G., Goktug, C., Tekalp, A.M.: Evaluation of asymmetric stereo video coding and rate scaling for adaptive 3D video streaming. IEEE Trans. Broadcast. 57(2), 593–601 (2011)
Sullivan, G.J., Boyce, J.M., Chen, Y., Ohm, J.-R., Segall, C.A., Vetro, A.: Standardized extensions of high efficiency video coding (HEVC). IEEE J. Selec. Topics Signal Process. 7(6), 1001–1016 (2013)
Müller, K., Merkle, P., Wiegand, T.: 3D video representation using depth maps. Proc. IEEE 99(4), 643–656 (2011)
Lu, Yu., Wang, Qing, Ang, Lu, Sun, Yule: Response to call for evidence on free-viewpoint television: Zhejiang University. ISO/IEC JTC1/SC29/WG11, MPEG2016/m37608. San Diego, US (2016)
3D HEVC reference codec available online https://hevc.hhi.fraunhofer.de/svn/svn_3DVCSoftware/tags/HTM-13.0
Domański, Marek, Dziembowski, Adrian, Grzelka, Adam, Kowalski, Łukasz, Mieloch, Dawid, Samelak, Jarosław, Stankiewicz, Olgierd, Stankowski, Jakub, Wegner, Krzysztof: [FTV AHG] technical description of Poznan University of technology proposal for call for evidence on free-viewpoint television. ISO/IEC JTC1/SC29/WG11, MPEG2016/m37893. San Diego, US (2016)
Müller, K., Vetro, A.: Common Test Conditions of 3DV Core Experiments Joint Collaborative Team on 3D Video Coding Extension Development of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 7th Meeting: Doc. JCT3 V-G1100, San José, US, Jan. 2014
Domański, M., Grajek, T., Klimaszewski, K., Kurc, M., Stankiewicz, O., Stankowski, J., Wegner, K.: Poznań multiview video test sequences and camera parameters. ISO/IEC JTC1/SC29/WG11 MPEG Doc. M17050, Xian, China, Oct. 2009
Rusanovskyy, D., Aflaki, P., Hannuksela, M.M.: “Undo Dancer 3DV sequence for purposes of 3DV standardization. ISO/IEC JTC1/SC29/WG11 MPEG Doc. M20028, Geneva, Switzerland, Mar. 2011
Tanimoto, M., Fujii, T., Fukushima, N.: 1D parallel test sequences for MPEG-FTV. ISO/IECJTC1/SC29/WG11 MPEG Doc. M15378, Archamps, France, Apr. 2008
Ho, Y.S., Lee, E.K., Lee, C.: Multiview video test sequence and camera parameters. ISO/IECJTC1/SC29/WG11 MPEG Doc. M15419, Archamps, France, Apr. 2008
Domański, M., Dziembowski, A. Kuehn, A., Kurc, M., Łuczak, A., Mieloch, D., Siast, J., Stankiewicz, O., Wegner, K.: Poznan Blocks—a multiview video test sequence and cam-era parameters for Free Viewpoint Television. ISO/IEC JTC1/SC29/WG11 Doc. M32243, San Jose, USA, Jan. 2014
Big Buck Bunny test sequence available online http://www.bigbuckbunny.org/
Zitnick, C.L., Kang, S.B., Uyttendaele, M., Winder, S., Szeliski, R.: High-quality video view interpolation using a layered representation. ACM Trans. Graph. 23(3), 600–608 (2004)
Bjøntegaard, G.: calculation of average psnr differences between RD-curves. ITU-T SG16, Doc. VCEG-M33, Austin, USA, Apr. 2001
Alves, G., Pereira, F., daSilva, E.A.B.: Light field imaging coding: Performance assessment methodology and standards benchmarking. In” Proceedings IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2016
Milovanovic, D., Kukolj, D.: Recent advances in UHD video coding technology: High Dynamic Range and Wide Color Gamut. In: Assuncao, P.A., Vanam, R. (eds.) IEEE COMSOC Multimedia Communications Technical Committee, MMTC Communications—Frontiers, Special issue on Ultra-high definition video communications, vol. 11(1), pp. 50–55, Jan. 2016
Milovanović, D., Kukolj, D., Bojković, Z.: Recent advances on 3D video coding technology: HEVC standardization framework, Chapter 4 in Connected media in the future Internet era (Kondoz, A., Dagiuklas, T. (eds.)), Springer-Verlag, pp. 77–106 (2016)
Ström, J., Samuelsson, J.: Progress report from MPEG. SMPTE Motion Imaging J. 125(7), 80–84 (2016)
Samelak, J., Stankowski, J., Domański, M.: Adaptation of the 3D-HEVC coding tools to arbitrary locations of cameras”, International Conference on Signals and Electronic Systems, ICSES 2016, Kraków, Poland, September 5–7 2016, pp. 107–112
Zakharchenko, V., Choi, K.P., Park, J.H.: Quality metric for spherical panoramic video. In: Proceedings 9970 Optics and Photonics, SPIE Optical Engineering + Applications, San Diego, 2016. pp. C1–9
Grewl, P.K., Viswanath, K.S., Golnaraghi, F.: Minimization of position uncertainty using 3-D stereo imaging technique for the real-time positioning of a handheld breast tissue anomaly detection probe. In: Fourth International Conference on ICCCNT. Tiruchengode, India, (2013)
Acknowledgements
This book chapter was partially supported by COST Action IC1105—3D-ConTourNet.
Sections 3.2 and 3.3 were supported by the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic no. LD15020 (QOCIES) and by the BUT project no. FEKT-S-17-4426. The research described in these sections was financed by Czech Ministry of Education in frame of National Sustainability Program under grant LO1401. For research, the infrastructure of the SIX Center was used. Section 3.4 was supported by National Science Centre, Poland according to the decision DEC-2012/05/B/ST7/01279.
Section 3.5 was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia under Grant TR-32034, and Secretary of Science of APV under the Grant 142-451-2484/2017-01/01.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Kukolj, D. et al. (2019). 3D Content Acquisition and Coding. In: Assunção, P., Gotchev, A. (eds) 3D Visual Content Creation, Coding and Delivery. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-77842-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-77842-6_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77841-9
Online ISBN: 978-3-319-77842-6
eBook Packages: EngineeringEngineering (R0)