MultiVu's 3D image camera is based on a single sensor as opposed to existing solutions using two sensors and a light projector. The solution produces both pictures and video streams as needed. MultiVu's single sensor solution is promised to be inexpensive, compact and energy efficient. MultiVu method is based on state of the art deep learning algorithms, which makes it a 100% passive solution (no illumination), operating as a front facing camera, using depth and RGB data, all in a single shot.
Doron Nevo, CEO of MultiVu said "The technology, which passed the proof-of-concept stage will bring 3D Face Authentication and affordable 3D imaging to the mobile, automotive, industrial and medical markets. We are excited to be given the opportunity to commercialize this technology."
MultiVu's technology is based on four years of research conducted by David Mendlovic and his team from the Tel Aviv University.
3D FaceID with Single Camera - is this 3D reliable? or use video sequence?
ReplyDeletejust another company doing another work on face ID having another opinion.
ReplyDeleteIn the end, what is the relevance of this article?
The relevance is that it's a 3D imaging with a single camera. How do the do it? There is some blurb on lightfields but no real explanation
DeleteI believe this https://arxiv.org/abs/1801.10351 paper describes their solution. Note that the sensor used should have no standard RGB CFA but a random mask placed at a distance from the sensor. Also, if this camera would be used for standard picture taking, they'd need to develop a complete camera, quite an undertaking!
ReplyDeleteHere http://liu.diva-portal.org/smash/record.jsf?pid=diva2%3A1265420&dswid=4139 is a similar approach which also compares performance to that of MultiVu.