Robust Content-Dependent Photometric Projector Compensation

Ashdown, Mark; Okabe, T.; Sato, Iwao; Sato, Yuuki

doi:10.1109/cvprw.2006.172

Cited by 69 publications

(50 citation statements)

References 10 publications

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“…Compensation techniques for both static [11] and dynamic scene [12] have been proposed. Ashdown et al have proposed content-dependent compensation technique based on both radiometric model and human visual system [13]. Wetzstein et al have accounted for all possible local and global illumination effects by applying the inverse light transport between a light source and a projector [14].…”

Section: Related Workmentioning

confidence: 99%

Defocus Blur Correcting Projector-Camera System

Oyamada

Saitō

2008

Advanced Concepts for Intelligent Vision Systems

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Abstract. To use a projector anytime anywhere, a lot of projectorcamera based approaches have been proposed. In this paper, we focus on a focal correction technique, one of projector-camera based approaches, reduces an effect of defocus blur which occurs when a screen is located out of projector's depth-of-field. We propose a novel method for estimating projector defocus blur on a planar screen without any special measuring images. To estimate a degree of defocus blur accurate, we extract subregion which is well-suited for defocus blur estimation in a projection image and estimate the degree of defocus blur at each extracted region. To remove the degradation caused by the defocus blur, we pre-correct the projection image depends on the degree of defocus blur before projection. Experimental results show that our method can estimate the degree of defocus blur without projecting any special images and pre-corrected image can reduce the effect of the defocus blur.

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Section: Related Workmentioning

confidence: 99%

Defocus Blur Correcting Projector-Camera System

Oyamada

Saitō

2008

Advanced Concepts for Intelligent Vision Systems

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“…One to One Mapping with No Interreflections: Most early work considered the mapping between projector and camera to be one-to-one (Raskar et al, 1998;Majumder et al, 1999;Nayar et al, 2003;Bimber et al, 2005;Fujii et al, 2005;Ashdown et al, 2006;Song and Cham, 2005). For a comprehensive survey, please refer to Yang et al (2004) and Raskar et al (1999).…”

Section: Radiometric Compensationmentioning

confidence: 99%

From the Rendering Equation to Stratified Light Transport Inversion

Ng¹,

Pahwa²,

Bai³

et al. 2010

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“…Later studies developed image compensation methods which optically eliminate the effects of undesirable textures and pigments in non-optimal surfaces [11,14]. The compensation methods were extended to successful modification of the appearance of complexly textured surfaces with respect to color [8], dynamic range [12], gloss and shading [4].…”

Section: Introductionmentioning

confidence: 99%

Deformation Lamps

Kawabe

Fukiage

Sawayama

et al. 2016

ACM Trans. Appl. Percept.

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Light projection is a powerful technique to edit appearances of objects in the real world. Based on pixel-wise modification of light transport, previous techniques have successfully modified static surface properties such as surface color, dynamic range, gloss and shading. Here, we propose an alternative light projection technique that adds a variety of illusory, yet realistic distortions to a wide range of static 2D and 3D projection targets. The key idea of our technique, named 'Deformation Lamps', is to project only dynamic luminance information, which effectively activates the motion (and shape) processing in the visual system, while preserving the color and texture of the original object. Although the projected dynamic luminance information is spatially inconsistent with the color and texture of the target object, the observer's brain automatically combines these sensory signals in such a way as to correct the inconsistency across visual attributes. We conducted a psychophysical experiment to investigate the characteristics of the inconsistency correction, and found that the correction was dependent critically on the retinal magnitude of inconsistency. Another experiment showed that perceived magnitude of image deformation by our techniques was underestimated. The results ruled out the possibility that the effect by our technique stemmed simply from the physical change of object appearance by light projection. Finally, we discuss how our techniques can make the observers perceive a vivid and natural movement, deformation, or oscillation of a variety of static objects, including drawn pictures, printed photographs, sculptures with 3D shading, objects with natural textures including human bodies.

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Robust Content-Dependent Photometric Projector Compensation

Cited by 69 publications

References 10 publications

Defocus Blur Correcting Projector-Camera System

Defocus Blur Correcting Projector-Camera System

From the Rendering Equation to Stratified Light Transport Inversion

Deformation Lamps

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