- What is stereo vision used for?
- What is an advantage of stereovision cameras?
- What is principles of stereo vision?
- What is stereo vision algorithm?
What is stereo vision used for?
Stereo vision is the process of extracting 3D information from multiple 2D views of a scene. Stereo vision is used in applications such as advanced driver assistance systems (ADAS) and robot navigation where stereo vision is used to estimate the actual distance or range of objects of interest from the camera.
What is an advantage of stereovision cameras?
Stereo Camera Advantages The differences in a single camera approach over stereo are subtle but important. Stereo cameras see more data and therefore produce less occlusions. With a single camera, any occlusion caused by surface geometry that blocks projected light or the camera's view will result in no data.
What is principles of stereo vision?
The principle of binocular (stereoscopic) depth perception is that the visual system interprets the slight differences between the views seen by the two eyes as depth cues.
What is stereo vision algorithm?
Stereovision images are processed using a machine vision algorithm that actively determines the position of a localized spherical fiducial with respect to the robot's TCP. From: Handbook of Robotic and Image-Guided Surgery, 2020.