Coded aperture projection

Grosse, Max; Bimber, Oliver

doi:10.1145/1401032.1401069

Cited by 8 publications

(7 citation statements)

References 2 publications

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“…We show how static [Grosse and Bimber 2008] and dynamically adjusted attenuation masks in the projector's aperture plane can preserve sharp image features with much fewer ringing artifacts (see Figure 3, right column) for defocused projections while preserving a high light transmission. The employed apertures are either designed to be broadband in the frequency domain or optimized to the frequency band of the current image.…”

Section: Coded Aperture Projection Principlementioning

confidence: 93%

Coded aperture projection

et al. 2010

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Coding a projector's aperture plane with adaptive patterns together with inverse filtering allow the depth-of-field of projected imagery to be increased. We present two prototypes and corresponding algorithms for static and programmable apertures. We also explain how these patterns can be computed at interactive rates, by taking into account the image content and limitations of the human visual system. Applications such as projector defocus compensation, high-quality projector depixelation, and increased temporal contrast of projected video sequences can be supported. Coded apertures are a step towards next-generation auto-iris projector lenses.

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Section: Coded Aperture Projection Principlementioning

confidence: 93%

Coded aperture projection

et al. 2010

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“…In terms of a video projector with a coded aperture mask, this has been studied for various purposes, however, there are no previous techniques using coded aperture for active stereo (structured light). For example, Grosse et al put a coded aperture in the video projector to mitigate the defocus effect at the projection [5]. Girod et al used asymmetric aperture to distinguish the forward and backward blur for depth from defocus (DfD) [4].…”

Section: Related Workmentioning

confidence: 99%

Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture

Kawasaki

Ono

Horita³

et al. 2015

2015 IEEE International Conference on Computer Vision (ICCV)

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The central projection model commonly used to model cameras as well as projectors, results in similar advantages and disadvantages in both types of system. Considering the case of active stereo systems using a projector and camera setup, a central projection model creates several problems; among them, narrow depth range and necessity of wide baseline are crucial. In the paper, we solve the problems by introducing a light field projector, which can project a depth-dependent pattern. The light field projector is realized by attaching a coded aperture with a high frequency mask in front of the lens of the video projector, which also projects a high frequency pattern. Because the light field projector cannot be approximated by a thin lens model and a precise calibration method is not established yet, an image-based approach is proposed to apply a stereo technique to the system. Although image-based techniques usually require a large database and often imply heavy computational costs, we propose a hierarchical approach and a feature-based search for solution. In the experiments, it is confirmed that our method can accurately recover the dense shape of curved and textured objects for a wide range of depths from a single captured image.

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“…However, there still are only few researches that utilize computational photography technique on the projector. Grosse et al proposed a system that uses programmable coded aperture on a video projector [1]. Since it is impossible to make entire projected image to be in-focus when projecting the pattern to ordinary scenes, the paper proposed the method to minimize the blur in the areas that is out of focus by dynamically adjusting the coded aperture as well as deliberately designing the shape of aperture; note that such condition is often used for AR system when patterns are projected over the scene.…”

Section: Related Workmentioning

confidence: 99%

Depth from Projector^|^apos;s Defocus Based on Multiple Focus Pattern Projection

Masuyama

Kawasaki

Furukawa

2014

IPSJ Transactions on Computer Vision and Applications

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For 3D active measurement methods using video projector, there is the implicit limitation that the projected patterns must be in focus on the target object. Such limitation set a severe constraints on possible range of the depth for reconstruction. In order to overcome the problem, Depth from Defocus (DfD) method using multiple patterns with different in-focus depth is proposed to expand the depth range in the paper. With the method, not only the range of the depth is extended, but also the shape can be recovered even if there is an obstacle between the projector and the target, because of the large aperture of the projector. Furthermore, thanks to the advantage of DfD which does not require baseline between the cameras and the projector, occlusion does not occur with the method. In order to verify the effectiveness of the method, several experiments using the actual system was conducted to estimate the depth of several objects.

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Coded aperture projection

Cited by 8 publications

References 2 publications

Coded aperture projection

Coded aperture projection

Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture

Depth from Projector^|^apos;s Defocus Based on Multiple Focus Pattern Projection

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