International Conference on Computer Vision, Theory and Applications (VISAPP 2025) |
| |
| Joint Calibration of Cameras and Projectors for Multiview Phase Measuring Profilometry |
| |
| |
| |
|
|
|
| |
Hyeongjun Cho |
Min H. Kim |
|
| |
KAIST |
|
| |
|
|
|
| |
 |
| |
(a) Phase-shifting pattern examples with a frequency (f =4). (b) The reconstructed phase map. (c) Phase maps of four different frequencies. (d) Final unwrapped phase map from camera 1. |
|
| |
|
|
| |
|
|
| |
|
| |
Abstract |
| |
|
| |
Existing camera-projector calibration for phase-measuring profilometry (PMP) is valid for only a single view.
To extend a single-view PMP to a multiview system, an additional calibration, such as Zhang’s method, is necessary.
In addition to calibrating phase-to-height relationships for each view, calibrating parameters of multiple
cameras, lenses, and projectors by rotating a target is indeed cumbersome and often fails with the local optima
of calibration solutions. In this work, to make multiview PMP calibration more convenient and reliable, we
propose a joint calibration method by combining these two calibration modalities of phase-measuring profilometry
and multiview geometry with high accuracy. To this end, we devise (1) a novel compact, static
calibration target with planar surfaces of different orientations with fiducial markers and (2) a joint multiview
optimization scheme of the projectors and the cameras, handling nonlinear lens distortion. First, we automatically
detect the markers to estimate plane equation parameters of different surface orientations. We then
solve homography matrices of multiple planes through target-aware bundle adjustment. Given unwrapped
phase measurement, we calibrate intrinsic/extrinsic/lens-distortion parameters of every camera and projector
without requiring any manual interaction with the calibration target. Only one static scene is required for
calibration. Results validate that our calibration method enables us to combine multiview PMP measurements
with high accuracy.
|
| |
|
| |
|
| |
@InProceedings{Cho:visapp2:2025,
author = {Hyeongjun Cho and Min H. Kim},
title = {Joint Calibration of Cameras and Projectors
for Multiview Phase Measuring Profilometry},
booktitle = {Proc. Int. Conf. Computer Vision,
Theory and Applications (VISAPP 2025)},
address = {Porto, Portugal},
year = {2025},
pages = {},
}
|
|
|
|
|
|
|
Hosted by Visual Computing Laboratory, School of Computing, KAIST.
|
 |
|
