Raytrix uEye light-field option: 3D captured with one camera

Technology developed by Raytrix GmbH allows the generation of real 3D images with just one camera and a single lens. The trick that makes this possible is a modified sensor that allows ...

November 10, 2010

For those of us who need eyes for our robots, being able to extract "range to object" information from pictures is a challenge that usually requires at least two of everything to create "right" and "left" images.  Being able to get range information from a picture with half the amount of equipment would be a big savings.  A message I got from uEye says they can do it all with one camera. Try it out and let me and the readers here know what you think of it.

Look for the models of the uEye camera that have the 4D light-field option. See www.ids-imaging.com.

This is technology developed by Raytrix GmbH www.raytrix.de that allows the generation of real 3D images with just one camera and a single lens.  The trick that makes this possible is a modified sensor that allows these uEye cameras capture depth information, making the need for structured light obsolete. (See a Raytrix flash demo of what the camera sees: https://www.raytrix.de/index.php/id-3d-demo-235.html.)

Besides delivering 3D information from a single image, the Raytrix software also offers the option of altering the picture’s depth of field after capture.  With this feature you can focus on other areas of an image, or even stretch the depth of field to cover the whole image area. The light-field cameras deliver up to six times more depth of field.

Applications such as traffic control will benefit greatly from this technology.

uEye light-field cameras are offered with either USB or GigE interface in resolutions of VGA, 1 or 2 Megapixel and frame rates of up to 60 fps.  The cameras come with a software that generates stereo images for devices using 3D shutter glasses or polarization technology.  In addition, the software package contains an API for programming the camera and processing the images.

(If you don’t see the comment box at the bottom of this posting, click on AIM blog eEye light-field option – comments.)

Also see the Control Engineering Machine Vision Resource Guide.

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