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THE VIDEO SHELF · computational photography

Dual Photography

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 HN readers recommended it

Cited whenever threads discuss recovering hidden images or non-line-of-sight imaging, as a clear demonstration of light transport.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
mm648230
Topic
computational photography
Format
demo
Level
intermediate
HN recommenders in dataset
4
HN mentions in dataset
10
Recommendation years in dataset
2013–2026

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

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

    uptown on Hacker News · 2014-05
    In How taking pictures through windows can inadvertently reveal your location
  • 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 …

    evanb on Hacker News · 2013-12
    In Reflected hidden faces in photographs revealed in pupil
  • 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 …

    pdkl95 on Hacker News · 2020-02
    In TV Backlight Compensation

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.