Corephotonics’ depth algorithm is based on stereoscopic vision, similar to that of the human eye. We use our dual cameras to produce a dense, detailed and accurate depth map of the scene.

In stereo vision, objects close to the camera are located in different regions of each image. As the object moves further away from the cameras, the disparity reduces until, at infinity, the object will seem to be at the same place in both images. A stereoscopic depth map is based on such camera disparities.

The Corephotonics depth map algorithm is uniquely designed to deal with various challenges, while requiring minimal load from the application processor. Such challenges include:

1. Optical aberrations: Optical characteristics of one lens versus the other can make the registration process more challenging.
2. Depth bleeding: A phenomenon in which the transition between a close object and a far object is smooth and gradual instead of sharp and clear.
3. Occlusions: Depending on the scene, there could be areas within the field of view of one camera that are occluded from the other camera’s field of view. In order to build a depth map from two images, the algorithm has to find matching pixels between the left and right images, and occlusions impede this matching.
4. Texture-less planes: In order to distinguish between different depths within the image, registration is performed. Regions with no texture information create a challenge in distinguishing different depths.