Inexpensive Immersive Projection

Yuen, Nick; Thibault, William C.

doi:10.1109/vr.2008.4480780

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…This scheme was extended for swept surfaces, such as truncated domes and the cave automatic virtual environment (CAVE) [12], [13] and, finally, for dome surfaces [14]; however, it requires that physical fiducials be placed at the dome hemisphere and also assumes a perfect dome surface. Yuen and Thibuault [15] used a spherical mirror and a single camera-projector setup for projection on a lowcost geodesic (piece-wise linear) dome surface. This approach, however, is herein proven to work on geodesic surfaces only and cannot be used in multi-projector setups.…”

Section: Related Workmentioning

confidence: 99%

“…As shown in Table 1, mainstream approaches for automatic quadratic surface mapping assume smooth and ideal surfaces [6], [7] or assume that the 3D model of the surface is known [10]- [14] and/or require some manual input to perform the geometric correction [8], [16]. Some approaches [8], [11], [13]- [15], [17] only work on specific types of projection surfaces and/or are not scalable to a multi-projector setup [15].…”

Section: Related Workmentioning

confidence: 99%

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Geometric Correction for Uneven Quadric Projection Surfaces Using Recursive Subdivision of Bézier Patches

Ahmed¹

2013

ETRI Journal

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This paper presents a scheme for geometric correction of projected content for planar and quadratic projection surfaces. The scheme does not require the projection surface to be perfectly quadratic or planar and is therefore suitable for uneven low‐cost commercial and home projection surfaces. An approach based on the recursive subdivision of second‐order Bézier patches is proposed for the estimation of projection distortion owing to surface imperfections. Unlike existing schemes, the proposed scheme is completely automatic, requires no prior knowledge of the projection surface, and uses a single uncalibrated camera without requiring any physical markers on the projection surface. Furthermore, the scheme is scalable for geometric calibration of multiprojector setups. The efficacy of the proposed scheme is demonstrated using simulations and via practical experiments on various surfaces. A relative distortion error metric is also introduced that provides a quantitative measure of the suppression of geometric distortions, which occurs as the result of an imperfect projection surface.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Geometric Correction for Uneven Quadric Projection Surfaces Using Recursive Subdivision of Bézier Patches

Ahmed¹

2013

ETRI Journal

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“…For instance, radiometric compensation has been used to project onto complex screens, such as several walls of a room, to immerse the user into the projected image [24,6]. Such systems, called immersive frontprojection systems, can be built quite easily using a few affordable devices.…”

Section: Motivationmentioning

confidence: 99%

Immersive front-projection analysis using a radiosity-based simulation method

et al. 2013

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International audienceVideo projectors are designed to project onto flat white diffuse screens. Over the last few years, projector-based systems have been used, in virtual reality applications, to light non-specific environments such as the walls of a room. However, in these situations, the images seen by the user are affected by several radiometric disturbances, such as interreflection. Radiometric compensa tion methods have been proposed to reduce the disturbance caused by interreflection, but nothing has been proposed for evaluating the phenomenon itself and the effectiveness of compensation methods. In this paper, we propose a radiosity-based method to simulate light transfer in immersive environments, from a projector to a camera (the camera gives the image a user would see in a real room). This enables us to evaluate the disturbances resulting from interreflection. We also consider the effectiveness of interreflection compensation and study the influence of several parameters (projected image, projection onto a small or large part of the room, reflectivity of the walls). Our results show that radiometric compensation can reduce the influence of interreflection but is severely limited if we project onto a large part of the walls around the user, or if all the walls are bright

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“…Although there are many distortion-correction methods for projection, the existing methods hardly correct the distortions present in dynamic non-planar surfaces. In fact, they mainly project the structure patterns on surfaces to extract and match features using RGB cameras and find distortions in a reconstructed 3D space [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. However, it is difficult to cope with dynamic distortion because the projector may generate patterns that interfere with viewing of the screen contents.…”

Section: Introductionmentioning

confidence: 99%

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

Ryu

Bae

2018

Sensors

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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.

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Inexpensive Immersive Projection

Cited by 5 publications

References 10 publications

Geometric Correction for Uneven Quadric Projection Surfaces Using Recursive Subdivision of Bézier Patches

Geometric Correction for Uneven Quadric Projection Surfaces Using Recursive Subdivision of Bézier Patches

Immersive front-projection analysis using a radiosity-based simulation method

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

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