Projector Calibration by “Inverse Camera Calibration”

Abstract

Abstract. The accuracy of 3-D reconstructions depends substantially on the accuracy of active vision system calibration. In this work, the problem of video projector calibration is solved by inverting the standard camera calibration work flow. The calibration procedure requires a single camera, which does not need to be calibrated and which is used as the sensor whether projected dots and calibration pattern landmarks, such as the checkerboard corners, coincide. The method iteratively adjusts the projected dots to coincide with the landmarks and the final coordinates are used as inputs to a camera calibration method. The otherwise slow iterative adjustment is accelerated by estimating a plane homography between the detected landmarks and the projected dots, which makes the calibration method fast.

Structured light self-calibration with vanishing points

“…The main drawback of this approach is that the errors introduced at the camera calibration stage are propagated to the projector's model; moreover, a previously calibrated camera is required. Martynov [20] proposed a projector calibration method that uses an uncalibrated camera as a sensor to determine the projector's image by calculating the camera-projector homography. The projector is eventually modeled as a reversed camera and is calibrated using a classical camera calibration approach.…”

Ground-Truth Tracking Data Generation Using Rotating Real-World Objects

“…There are algorithms where both projected and printed pattern are used (Audet, 2009;Martynov et al, 2011). The main idea here is that if the projected pattern is iteratively adjusted until it fully overlaps the printed pattern, then the projector parameters can be estimated.…”

A Turntable-based Approach for Ground Truth Tracking Data Generation

“…There are algorithms where both projected and printed pattern are used (Audet, 2009;Martynov et al, 2011). The main idea here is that if the projected pattern is iteratively adjusted until it fully overlaps the printed pattern, then the projector parameters can be estimated.…”