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Robust Calibration of Camera-Projector System for Multi-Planar Displays (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Ashdown, Mark Ashdown, Mark Sukthankar, Rahul Sukthankar, Rahul |
| Abstract | We present a robust calibration method for aligning a camera-projector system to multiple planar surfaces. Unlike prior work, we do not recover the 3D scene geometry, nor do we assume knowledge of projector or camera position. We recover the mapping between the projector and each surface in three stages. In the first stage, we recover planar homographies between the projector and the camera through each surface using an uncalibrated variant of structured light. In the second stage, we express the homographies from the camera to each display surface as the composition of a metric rectification and a similarity transform. Our metric rectification algorithm uses several images of a rectangular object. In the third stage, we obtain the homographies between the projector and each surface by combining the results of the previous two stages. Inconsistencies appear along the boundaries between adjacent surfaces; we eliminate them through a process of iterative refinement. |
| File Format | |
| Language | English |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Camera-projector System Multi-planar Display Robust Calibration Structured Light Third Stage Uncalibrated Variant Metric Rectification Adjacent Surface Camera Position Display Surface Robust Calibration Method Planar Surface Scene Geometry Prior Work Iterative Refinement Metric Rectification Algorithm Several Image Similarity Transform Planar Homographies Second Stage Rectangular Object First Stage |
| Content Type | Text |
| Resource Type | Technical Report |
