Nothing Special   »   [go: up one dir, main page]

skip to main content
research-article

Deformation Lamps: A Projection Technique to Make Static Objects Perceptually Dynamic

Published: 03 March 2016 Publication History

Abstract

Light projection is a powerful technique that can be used to edit the appearance of objects in the real world. Based on pixel-wise modification of light transport, previous techniques have successfully modified static surface properties such as surface color, dynamic range, gloss, and shading. Here, we propose an alternative light projection technique that adds a variety of illusory yet realistic distortions to a wide range of static 2D and 3D projection targets. The key idea of our technique, referred to as (Deformation Lamps), is to project only dynamic luminance information, which effectively activates the motion (and shape) processing in the visual system while preserving the color and texture of the original object. Although the projected dynamic luminance information is spatially inconsistent with the color and texture of the target object, the observer's brain automatically combines these sensory signals in such a way as to correct the inconsistency across visual attributes. We conducted a psychophysical experiment to investigate the characteristics of the inconsistency correction and found that the correction was critically dependent on the retinal magnitude of the inconsistency. Another experiment showed that the perceived magnitude of image deformation produced by our techniques was underestimated. The results ruled out the possibility that the effect obtained by our technique stemmed simply from the physical change in an object's appearance by light projection. Finally, we discuss how our techniques can make the observers perceive a vivid and natural movement, deformation, or oscillation of a variety of static objects, including drawn pictures, printed photographs, sculptures with 3D shading, and objects with natural textures including human bodies.

Supplementary Material

kawabe (kawabe.zip)
Supplemental movie, appendix, image and software files for, Deformation Lamps: A Projection Technique to Make Static Objects Perceptually Dynamic

References

[1]
E. H. Adelson and J. R. Bergen. 1985. Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A 2 (1985), 284--299.
[2]
D. G. Aliaga, A. Law, and Y. H. Yeng. 2008. A virtual restoration stage for real-world objects. ACM Transactions on Graphics 27(5) (2008), 149:1--149:10.
[3]
D. G. Aliaga, Y. H. Yeng, and A. Law. 2012. Fast high-resolution appearance editing using superimposed projections. ACM Transactions on Graphics 31(2) (2012), 13:1--13:13.
[4]
T. Amano. 2013. Projection based real-time material appearance manipulation. In Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops. 918--923.
[5]
T. Amano, I. Shimana, S. Ushida, and K. Kono. 2014. Successive wide viewing angle appearance manipulation with dual projector camera systems. In Proceedings of International Conference on Artificial Reality and Telexistence - Eurographics Symposium on Virtual Environments (ICAT - EGVE'14). 49--54.
[6]
S. Anstis, M. Vergeer, and R. Van Lier. 2012. Luminance contours can gate afterimage colors and “real” colors. Journal of Vision 12(10):2 (2012), 1--13.
[7]
S. M. Anstis. 1970. Phi movement as a subtraction process. Vision Research 10 (1970), 1411--1430.
[8]
S. M. Anstis and B. J. Rogers. 1975. Illusory reversals of visual depth and movement during changes in contrast. Vision Research 15 (1975), 957--961.
[9]
M. Ashdown, T. Okabe, I. Sato, and Y. Sato. 2006. Robust content-dependent photometric projector compensation. In Proceedings of IEEE International Workshop on Projector-Camera Systems. 60--67.
[10]
M. A. Batista, G. Buscaglia, C. Z. Barcelos, L. Velho, and L. G. Nonato. 2011. Animating liquids in a still image. In Proceedings of Computer Graphics International 2011.
[11]
A. Bermano, P. Brüschweiler, A. Grundhöfer, D. Iwai, B. Bickel, and M. Gross. 2013. Augmenting physical avatars using projector-based illumination. ACM Transactions on Graphics 32 (2013), 189:1--189:10.
[12]
O. Bimber, A. Emmerling, and T. Klemmer. 2005. Embedded entertainment with smart projectors. Computer 38(1) (2005), 48--55.
[13]
O. Bimber and D. Iwai. 2008. Superimposing Dynamic Range. ACM Transactions on Graphics 27(5) (2008), 150:1--150:8.
[14]
O. Bimber, D. Iwai, G. Wetzstein, and A. Grundhöfer. 2008. The visual computing of projector-camera systems. In ACM SIGGRAPH 2008 Classes (SIGGRAPH'08). 84:1--84:25.
[15]
O. Bimber and R. Raskar. 2005. Spatial Augmented Reality. Merging Real and Virtual Worlds. A K Peters, Wellesley, Massachusetts.
[16]
V. Blanz and T. Vetter. 1999. A morphable model for the synthesis of 3D face. In Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques. 187--194.
[17]
D. Burr and P. Thompson. 2011. Motion psychophysics: 1985-2010. Vision Research 51 (2011), 1431--1456.
[18]
P. Cavanagh, C. W. Tyler, and O. E. Favreau. 1984. Perceived velocity of moving chromatic gratings. Journal of the Optical Society of America A 1 (1984), 893--899.
[19]
M. Chi, T. Lee, Y. Qu, and T. Wong. 2008. Self-animating images: Illusory motion using repeated asymmetric patterns. ACM Transactions on Graphics 27(3) (2008), 62:1--62:8.
[20]
Y.-Y. Chuang, D. B. Goldman, K. C. Zheng, B. Curless, D. H. Salesin, and R. Szelski. 2005. Animating pictures with stochastic motion textures. ACM Transactions on Graphics 24(3) (2005), 853--860.
[21]
S. J. Cropper and S. M. Wuerger. 2005. The perception of motion in chromatic stimuli. Behavioral and Cognitive Neuroscience Reviews 4 (2005), 192--217.
[22]
R. L. De Valois and K. K. De Valois. 1991. Vernier acuity with stationary moving Gabors. Vision Research 31 (1991), 1619--1626.
[23]
K. Duncker. 1929. Uber induzierte Bewegung. Psychologische Forschung 12 (1929), 180--259.
[24]
A. Fraser and K. J. Wilcox. 1979. Perception of illusory movement. Nature 281 (1979).
[25]
W. Freeman, E. H. Adelson, and D. J. Heeger. 1991. Motion without movement. In Proceedings of ACM SIGGRAPH'91. 27--30.
[26]
N. Goda and Y. Ejima. 1997. Moving stimuli define the shape of stationary chromatic patterns. Perception 26 (1997), 1413--1422.
[27]
A. Grundhöfer. 2013. Practical non-linear photometric projector compensation. In Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops. 924--924.
[28]
T. Kawabe, K. Maruya, and S. Y. Nishida. 2015. Perceptual transparency from image deformation. Proceedings of the National Academy of Sciences 112, 33 (2015), E4620--E4627.
[29]
D. Kelly. 1980. Motion and vision. II. Stabilized spatio-temporal threshold surface. Journal of the Optical Society of America 69 (1980), 1340--1349.
[30]
A. Kitaoka and H. Ashida. 2003. Phenomenal characteristics of the peripheral drift illusion. Vision (Journal of the Vision Society of Japan) 15 (2003), 261--262.
[31]
R. Legarda-Sáenz, T. Bothe, and W. P. Jüptner. 2004. Accurate procedure for the calibration of a structured light system. Optical Engineering 43(2) (2004), 464--471.
[32]
M. S. Livingstone and D. H. Hubel. 1985. Spatial relationship and extrafoveal vision. Nature 315 (1985), 285.
[33]
M. S. Livingstone and D. H. Hubel. 1987. Psychophysical evidence for separate channels for the perception of form, color, movement, and depth. Journal of Neuroscience 7 (1987), 3416--3468.
[34]
Z. L. Lu and G. Sperling. 1995. The functional architecture of human visual motion perception. Vision Research 35 (1995), 2697--2722.
[35]
W. R. Mark, L. McMillan, and G. Bishp. 1997. Post-rendering 3D warping. In Proceedings of the 1997 Symposium on Interactive 3D Graphics. 7--16.
[36]
Y. Mukaigawa, M. Nishiyama, and T. Shakunaga. 2004. Virtual photometric environment using projector. In Proceedings of the International Conference on Virtual Systems and Multi-media. 544--553.
[37]
S. Nishida. 2004. Motion-based analysis of spatial patterns by the human visual system. Current Biology 14 (2004), 830--839.
[38]
S. Nishida. 2011. Advancement of motion psychophysics: Review 2001-2010. Journal of Vision 11(5) (2011), 1--53.
[39]
S. Nishida and A. Johnston. 1999. Influence of motion signals on the perceived position of spatial pattern. Nature 397 (1999), 610--612.
[40]
S. Nishida, J. Watanabe, I. Kuriki, and T. Tokimoto. 2007. Human visual system integrates color signals along a motion trajectory. Current Biology 17 (2007), 366--372.
[41]
F. O'Brien and D. Cousineau. 2014. Representing error bars in within-subject designs in typical software packages. Quantitative Methods for Psychology 10 (2014), 56--67.
[42]
A. Oliva and A. Torralba. 2001. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision 42(3) (2001), 145--175.
[43]
A. Olmos and F. A. A. Kingdom. 2004. A biologically inspired algorithm for the recovery of shading and reflectance images. Perception 33 (2004), 1463--1473.
[44]
V. S. Ramachandran. 1987. Interaction between colour and motion in human motion. Nature 328 (1987), 645--647.
[45]
V. S. Ramachandran and S. M. Anstis. 1990. Illusory displacement of equiluminous kinetic edges. Perception 19 (1990), 611--616.
[46]
V. S. Ramachandran and P. Cavanagah. 1987. Motion capture anisotropy. Vision Research 27(1) (1987), 97--106.
[47]
V. S. Ramachandran and R. L. Gregory. 1978. Does colour provide an input to human motion perception? Nature 275 (1978), 55--56.
[48]
R. Raskar, G. Welch, and H. Fuchs. 1998. Spatial augmented reality. In Proceedings of the 1st IEEE Workshop on Augmented Reality (IWAR'98). 1--7.
[49]
R. Raskar, G. Welch, and K.-L. Low. 2001. Shader lamps: Animating real objects with image-based illumination. In Proceedings of the 12th Eurographics Workshop on Rendering Techniques. 89--102.
[50]
R. Raskar, R. Ziegler, and T. Willwacher. 2002. Cartoon dioramas in motion. In Proceedings of the 2nd International Symposium on Non-Photorealistic Animation and Rendering. 7--12.
[51]
C. Siegl, M. Colaianni, L. Thies, J. Thies, M. Zollhöfer, S. Izadi, M. Stamminger, and F. Bauer. 2015. Real-time pixel luminance optimization for dynamic multi-projection mapping. ACM Transactions on Graphics 34 (2015), 237.
[52]
F. A. Smit, R. van Liere, and B. Fröhlich. 2007. The design and implementation of a VR-architecture for smooth motion. In Proceedings of the 2007 ACM symposium on Virtual Reality Software and Technology. 153--156.
[53]
T. Sueishi, H. Oku, and M. Ishikawa. 2015. Robust high-speed tracking against illumination changes for dynamic projection mapping. In Proceedings of 2015 IEEE Conference on Virtual Reality (VR'15). 97--104.
[54]
J. Underkoffler. 1997. A view from the luminous room. Personal Technologies 1 (1997), 49--59.
[55]
J. P. Van Santen and G. Sperling. 1985. Elaborated Reichardt detectors. Journal of the Optical Society of America A 2 (1985), 300--320.
[56]
B. A. Wandell. 1995. Foundations of Visual Science. Sinauer Associates, Sunderland, Massachusetts.
[57]
T. Xue, M. Rubinstein, N. Wadhwa, F. Durand, and W. T. Freeman. 2014. Refraction wiggles for measuring fluid depth and velocity from video. In Proceedings of European Conference on Computer Vision (ECCV'14). 767--782.

Cited By

View all
  • (2024)Projection mapping technologies: A review of current trends and future directionsProceedings of the Japan Academy, Series B10.2183/pjab.100.012100:3(234-251)Online publication date: 11-Mar-2024
  • (2024)Real-Time Seamless Multi-Projector Displays on Deformable SurfacesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337209730:5(2527-2537)Online publication date: May-2024
  • (2024)Pseudo-Haptics Survey: Human-Computer Interaction in Extended Reality and TeleoperationIEEE Access10.1109/ACCESS.2024.340944912(80442-80467)Online publication date: 2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Transactions on Applied Perception
ACM Transactions on Applied Perception  Volume 13, Issue 2
March 2016
90 pages
ISSN:1544-3558
EISSN:1544-3965
DOI:10.1145/2888406
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 March 2016
Accepted: 01 November 2015
Revised: 01 November 2015
Received: 01 September 2015
Published in TAP Volume 13, Issue 2

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Motion perception
  2. illusion
  3. light projection
  4. motion-pattern interaction

Qualifiers

  • Research-article
  • Research
  • Refereed

Funding Sources

  • Japanese Ministry of Education, Culture, Sports, Science, and Technology
  • Grants-in-Aid for Scientific Research on Innovative Areas

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)68
  • Downloads (Last 6 weeks)11
Reflects downloads up to 16 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Projection mapping technologies: A review of current trends and future directionsProceedings of the Japan Academy, Series B10.2183/pjab.100.012100:3(234-251)Online publication date: 11-Mar-2024
  • (2024)Real-Time Seamless Multi-Projector Displays on Deformable SurfacesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337209730:5(2527-2537)Online publication date: May-2024
  • (2024)Pseudo-Haptics Survey: Human-Computer Interaction in Extended Reality and TeleoperationIEEE Access10.1109/ACCESS.2024.340944912(80442-80467)Online publication date: 2024
  • (2023)Dynamic Projection Mapping Technologies Pioneered by High-speed Vision高速ビジョンが開くダイナミックプロジェクションマッピング技術IEICE Communications Society Magazine10.1587/bplus.16.27516:4(275-284)Online publication date: 2023
  • (2023)Interactive Paper Displays: Enabling Digital Functionalities on Physical PaperExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583932(1-5)Online publication date: 19-Apr-2023
  • (2023)Displacement Projection Mapping: a Projection Method to Add Geometric Features beyond the Boundary of the Real Object2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00157(727-731)Online publication date: 16-Oct-2023
  • (2022)LightMeUp: Back-print Illumination Paper Display with Multi-stable VisualsProceedings of the ACM on Human-Computer Interaction10.1145/35703336:ISS(407-429)Online publication date: 14-Nov-2022
  • (2022)Dynamic Pinhole Paper: Interacting with Horizontal Displays through Perforated PaperProceedings of the ACM on Human-Computer Interaction10.1145/35677206:ISS(254-276)Online publication date: 14-Nov-2022
  • (2022)E.S.P.: Extra-Sensory Puck in Air Hockey using the Projection-Based IllusionSIGGRAPH Asia 2022 Emerging Technologies10.1145/3550471.3558397(1-2)Online publication date: 6-Dec-2022
  • (2022)Perceptually-Based Optimization for Radiometric Projector Compensation2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00226(750-751)Online publication date: Mar-2022
  • Show More Cited By

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media