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 locationThis 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 pupilIt 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.