Seeing through Obscure Glass

Obscure glass is textured glass designed to separate spaces and "obscure" visibility between the spaces. Such glass is used to provide privacy while still allowing light to flow into a space, and is often found in homes and offices. We propose and explore the challenge of "seeing through" obscure glass, using both optical and digital techniques. In some cases - such as when the textured surface is on the side of the observer - we find that simple household substances and cameras with small apertures enable a surprising level of visibility through the obscure glass. In other cases, where optical techniques are not usable, we find that we can model the action of obscure glass as convolution of spatially varying kernels and reconstruct an image of the scene on the opposite side of the obscure glass with surprising detail.

[1]  Frédo Durand,et al.  Image and depth from a conventional camera with a coded aperture , 2007, SIGGRAPH 2007.

[2]  Jian Sun,et al.  Progressive inter-scale and intra-scale non-blind image deconvolution , 2008, SIGGRAPH 2008.

[3]  David J. Kriegman,et al.  On Refractive Optical Flow , 2004, ECCV.

[4]  David Salesin,et al.  Environment matting and compositing , 1999, SIGGRAPH.

[5]  Jiří Matas,et al.  Computer Vision - ECCV 2004 , 2004, Lecture Notes in Computer Science.

[6]  Andrew W. Fitzgibbon,et al.  Image-based environment matting , 2002, SIGGRAPH '02.

[7]  Martin Welk,et al.  Tempest in a Teapot: Compromising Reflections Revisited , 2009, 2009 30th IEEE Symposium on Security and Privacy.

[8]  Derek Bradley,et al.  Tomographic reconstruction of transparent objects , 2006, SIGGRAPH '06.

[9]  Michael Backes,et al.  2008 IEEE Symposium on Security and Privacy Compromising Reflections –or– How to Read LCD Monitors Around the Corner , 2022 .

[10]  David Salesin,et al.  Environment matting extensions: towards higher accuracy and real-time capture , 2000, SIGGRAPH.

[11]  J. Vane,et al.  Optical Projection Tomography as a Tool for 3D Microscopy and Gene Expression Studies , 2002 .

[12]  Markus G. Kuhn,et al.  Optical time-domain eavesdropping risks of CRT displays , 2002, Proceedings 2002 IEEE Symposium on Security and Privacy.

[13]  Pieter Peers,et al.  Inferring reflectance functions from wavelet noise , 2005, EGSR '05.

[14]  Stephen P. Boyd,et al.  An Efficient Method for Compressed Sensing , 2007, 2007 IEEE International Conference on Image Processing.

[15]  Hiroshi Murase,et al.  Surface Shape Reconstruction of a Nonrigid Transport Object Using Refraction and Motion , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  R. C. Weast CRC Handbook of Chemistry and Physics , 1973 .

[17]  Kiriakos N. Kutulakos,et al.  Transparent and Specular Object Reconstruction , 2010, Comput. Graph. Forum.

[18]  Kiriakos N. Kutulakos,et al.  A theory of inverse light transport , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[19]  Steve Marschner,et al.  Dual photography , 2005, ACM Trans. Graph..

[20]  Pieter Peers,et al.  Wavelet Environment matting , 2003, Rendering Techniques.

[21]  Jiaya Jia,et al.  High-quality motion deblurring from a single image , 2008, ACM Trans. Graph..

[22]  E. Adelson,et al.  Retrographic sensing for the measurement of surface texture and shape , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Ken Perlin,et al.  [Computer Graphics]: Three-Dimensional Graphics and Realism , 2022 .