Geometric calibration of a camera-projector 3D imaging system

Li, Tuotuo; Hu, Feng; Zhang, Geng

doi:10.1145/2087756.2087783

Cited by 17 publications

(13 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To avoid the requirement of using multiple calibrated cameras for projector calibration, methods were proposed to calibrate the projector via planar surfaces in an equivalent fashion to the aforementioned camera calibration, but this time, by treating the projector as an inverse of a camera and using structured light patterns to estimate with a single camera, where each projector pixel is seen on a planar surface [ORH08, DAS * 14, MT12,LHG11]. An easy to use checkerboard-based procams calibration method and source code has been introduced [AO09].…”

Section: Semi-automatic Procams Calibration Methodsmentioning

confidence: 99%

Recent Advances in Projection Mapping Algorithms, Hardware and Applications

Grundhöfer

Iwai

2018

Computer Graphics Forum

View full text Add to dashboard Cite

This State‐of‐the‐Art‐Report covers the recent advances in research fields related to projection mapping applications. We summarize the novel enhancements to simplify the 3D geometric calibration task, which can now be reliably carried out either interactively or automatically using self‐calibration methods. Furthermore, improvements regarding radiometric calibration and compensation as well as the neutralization of global illumination effects are summarized. We then introduce computational display approaches to overcome technical limitations of current projection hardware in terms of dynamic range, refresh rate, spatial resolution, depth‐of‐field, view dependency, and color space. These technologies contribute towards creating new application domains related to projection‐based spatial augmentations. We summarize these emerging applications, and discuss new directions for industries.

show abstract

Section: Semi-automatic Procams Calibration Methodsmentioning

confidence: 99%

Recent Advances in Projection Mapping Algorithms, Hardware and Applications

Grundhöfer

Iwai

2018

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…Then, the world coordinates of the features are estimated with respect to minimizing the reprojection errors. Most calibration methods between RGB cameras and projectors [ 14 , 15 , 16 , 17 , 43 ] perform in a similar manner to that described above.…”

Section: Related Workmentioning

confidence: 99%

Display in the Wild (DIW): An Adaptive Projection-Imaging System to Screen Geometry in Real Time

Ryu

Bae

2018

Sensors

View full text Add to dashboard Cite

TVs and monitors are among the most widely used displays in various environments. However, they have limitations in their physical display conditions, such as a fixed size/position and a rigid/flat space. In this paper, we suggest a new “Display in the Wild” (DIW) concept to overcome the aforementioned problems. Our proposed DIW system allows us to display a flexibly large screen on dynamic non-planar surfaces at an arbitrary display position. To implement our DIW concept practically, we choose a projector as the hardware configuration in order to generate a screen anywhere with different sizes. However, distortion occurs when the projector displays content on a surface that is dynamic and/or non-planar. Therefore, we propose a distortion correction method for DIW to overcome the aforementioned surface constraints. Since projectors are not capture devices, we propose using a depth camera to determine the distortions on the surfaces quickly. We also propose DIW-specific calibration and fast/precise correction methods. Our calibration method is constructed to detect the projection surface easily and quickly, and also allows our proposed system to accommodate the intrinsic parameters such as a display resolution and field of view. We accomplish a fast undistortion process of the projector by considering only surface boundary pixels, which enables our method to run in real time. In our comprehensive experiments, the proposed DIW system generates undistorted screens such as TVs and monitors on dynamic non-planar surfaces at an arbitrary display position with Unmanned Aerial Vehicles (UAVs) in a fast and accurate manner, demonstrating its usefulness in practical DIW scenarios.

show abstract

“…Projectors are used in many different situations: as multi‐projector visualisations (Bhasker et al., ; Griesser and van Gool, ; Okatani and Deguchi, ; Sajadi and Majumder, ; Garcia‐Dorado and Cooperstock, ); for videogrammetry (Lin et al., ), object reconstruction and/or structured light techniques (Gühring et al., ; Dipanda and Woo, ; Zhang et al., ; De Wansa Wickramarante et al., ; Liao and Cai, ; Li et al., ); and many other applications. Over the past few years, a number of approaches have been proposed in order to calibrate such devices, a procedure that is crucial for some applications (for example, object reconstruction).…”

Section: Introductionmentioning

confidence: 99%

“…A similar procedure to isolate a projected chequerboard from a physical chequerboard is introduced in Li et al. (), but with a different colour pattern.…”

Section: Introductionmentioning

confidence: 99%

Calibration of a camera–projector monochromatic system

Portalés

Ribes-Gómez

Pastor

et al. 2015

The Photogrammetric Record

View full text Add to dashboard Cite

Camera-projector systems are increasingly being used in many different applications, including object reconstruction. In recent years, a number of approaches have been proposed to calibrate such devices; in this paper a calibration method is presented which can be used with monochromatic systems. The method is based on open-source code, makes use of planar calibration patterns, is fully automatic, easy to use and fast. Additionally, no initial information regarding the camera interior orientation is needed, and both sensors (camera and projector) are fully calibrated during the process. The method is validated by a series of tests, where root mean square errors (RMSEs) in image space are kept below 1 pixel. Finally, the applicability of the method is demonstrated by implementing two different strategies to automatically reconstruct objects.

show abstract

Geometric calibration of a camera-projector 3D imaging system

Cited by 17 publications

References 9 publications

Recent Advances in Projection Mapping Algorithms, Hardware and Applications

Recent Advances in Projection Mapping Algorithms, Hardware and Applications

Display in the Wild (DIW): An Adaptive Projection-Imaging System to Screen Geometry in Real Time

Calibration of a camera–projector monochromatic system

Contact Info

Product

Resources

About