Talks to Watch

Dual Photography

24K views · Mar 28, 2009 · 5:10 · 4 HN recommenders · 10 mentions · discussed 2013–2026

The SIGGRAPH 2005 demo of dual photography from Stanford, which swaps the roles of projector and camera to render a scene from the light's point of view. It includes the reveal of a hidden playing card.

Why Hacker News points people here: Cited whenever threads discuss recovering hidden images or non-line-of-sight imaging, as a clear demonstration of light transport.

“Skip ahead to 4:19 for a succinct demo.”HN comment, 2014

What Hacker News said 10

Strongly recommendsuptownMay 2014

“Skip ahead to 4:19 for a succinct demo.”

Succinct SIGGRAPH 2005 dual photography demo.

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Dual Photography has always been the optical "trick" that's blown me away. Here's the demo video from Siggraph in 2005: this video Skip ahead to 4:19 for a succinct demo.

in “How taking pictures through windows can inadvertently reveal your location” · view on HN
RecommendsevanbDec 2013

“The video [2] gives a good explanation”

Good explanation including the hidden playing card reveal.

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This reminds me of dual photography [1], in which you trade many projectors and one camera for one projector and many cameras using time reversal symmetry. The video [2] gives a good explanation, and the revelation of the playing card is what strikes me as similar to revealing reflected hidden faces. [1] link [2] this video

in “Reflected hidden faces in photographs revealed in pupil” · view on HN
Recommendspdkl95Feb 2020

“I recommend watchign the video from the paper for good explains and demonstrates the technique.”

Clear demonstration of swapping lights and cameras in a scene.

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It sounds like "Dual Photography". link "We present a novel photographic technique called dual photography, which exploits Helmholtz reciprocity to interchange the lights and cameras in a scene. With a video projector providing structured illumination, reciprocity permits us to generate pictures from the viewpoint of the projector, even though no camera was present at that location." I recommend watchign the video from the paper for good explains and demonstrates the technique. It's very impressive work. this video

RecommendssaeranvJun 2020

“A very cool demonstration of how light conveys information is in dual photography”

Demonstrates how light carries information, rendering from the light's view.

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> Does anyone assert that any photon carries information about what it interacted with in the past? Does a photon have any information content other than its energy/wavelength? So "each one carries a bit of the image of whatever it hits" is total (ok, be nice now) poetic blarney. An analogy to how we perceive things seems appropriate. The light from some source (i.e the sun) hits an object, the light rays are then reflected/transmitted/refracted through the surface based on various material properties. Your eye, acting like a pinhole camera, captures all the light rays from that surface, and then projects it onto the sensor reception surface (I think the retina?) creating the 'image' that we see. So the specific way the light rays interacts with the surface is what creates the 'information content'. For example, we perceive a blue-colored surface because the surface properties (i.e roughness) will specifically reflect wavelengths associated with blue. A specular surface will reflect light back to the eye, creating a 'shiny' surface. A very cool demonstration of how light conveys information is in dual photography: this video And the original paper: link . They shine a light source onto an object, take a picture, and then by processing the light rays in the photo, are able to generate the same scene but from the perspective of the light source. It's really astounding when you see it. They can do this reconstruction because the flow of light rays from the light source to the obj

in “In a photo of a black hole, a possible key to mysteries” · view on HN
Cites ituptownAug 2014

“All the data you need to construct a new view is available if you know where and how to look”

Constructing new views from light transport data.

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Reminds me a little of "Dual Photography" as presented at Siggraph in 2005. All the data you need to construct a new view is available if you know where and how to look: this video

in “Extracting audio from visual information” · view on HN
Cites itevanbJan 2015

“the video there didn't work for me any more, here's the youtube link”

Dual photography with known sources in transfer matrix.

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This reminds me of dual photography: link in the sense that I imagine unscrambling the glittered image will be significantly easier if you can plug in known sources to the transfer matrix. Edit: the video there didn't work for me any more, here's the youtube link this video

in “An Algorithm That Unscrambles Fractured Images” · view on HN
Cites itevanbOct 2017

“where one can recover hidden images from diffuse-diffuse light transfer.”

Recovering hidden images from diffuse light transfer.

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This reminds me of dual photography, where one can recover hidden images from diffuse-diffuse light transfer. video: this video page: link

in “Turning Corners into Cameras: Principles and Methods” · view on HN
Cites itrzzztJan 2019

“Reminds me of this work”

Reversing light path between projector and camera.

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Reminds me of this work, aiming to "reverse" the light path between a projector and a camera/photosensor: this video

in “Shadows used to peer around corners” · view on HN
Cites itrzzztMar 2021

Photographing a playing card facing away.

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I was immediately reminded of the Dual Photography paper (well, I had to look it up first; I only remembered the "photographing a playing card that is facing away" demo at the end): - link - this video

in “Non–line-of-sight imaging over 1.43km [pdf]” · view on HN
Cites itjanfoehMay 2026

“I've never forgotten this SIGGRAPH demo from almost twenty years ago”

Computationally switching camera and light source in a static scene.

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I've never forgotten this SIGGRAPH demo from almost twenty years ago, in which the authors effectively switch camera and light source computationally (... in a static scene) [1] Ever since then, I have viewed scenes such as the "lingerie store scene" from Enemy of the State [2] with a little bit less eye rolling... [1] - this video [2] - link

in “Image-blaster: Creates 3D environments, SFX, and meshes from a single image” · view on HN