4 HN users recommended this demo4 months2013–2026score 4.5
Years with an HN recommendation, 2007–2026
Cited whenever threads discuss recovering hidden images or non-line-of-sight imaging, as a clear demonstration of light transport.
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.
“Skip ahead to 4:19 for a succinct demo.” (HN, 2014)
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.
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]
Good explanation including the hidden playing card reveal.
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]
Clear demonstration of swapping lights and cameras in a scene.
> 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
Demonstrates how light carries information, rendering from the light's view.
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]
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]
Dual photography with known sources in transfer matrix.
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]
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]
Computationally switching camera and light source in a static scene.
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