Geometrical analysis of puppet-theater and cardboard effects in stereoscopic HDTV images

Yamanoue, Hirokazu; Okui, Makoto; Okano, Fumio

doi:10.1109/tcsvt.2006.875213

Cited by 89 publications

(75 citation statements)

References 12 publications

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“…Stereo shooting is generally divided into two types: parallel and toed-in camera configurations [15], [17]. Hoffman et al, through their experimental analysis of the parallel and toedin camera configurations, discovered that the short and long shooting distances (the shooting distance is measured from the stereo camera setup to the photographed objects) have different influence on the quality of images captured by stereo cameras [18].…”

Section: Basic Shooting Principlesmentioning

confidence: 99%

“…When people watch natural scenes with different shooting distances, the region they are interested in is different. So the information acquired by human eyes is also different [15], [19]. For example, in macro shooting, the attention is focus on the object closest to the cameras, while in short and long distance shooting, the foreground and background as well as the regions of interest should all be considered (in this paper, the foreground refers to the scene in front of the observer's interest regions and the background refers to the scene behind the observer's interest regions).…”

Section: Basic Shooting Principlesmentioning

confidence: 99%

“…• Ratio of binocular overlap to visual field: the magnification of an image on the retina is BE/CE [13], [15], [23], [24], shown in Fig. 2 (here, BE is the width of captured stereo image [25], CE is the width of composite image, denoting the binocular overlap of stereo camera).…”

Section: Basic Shooting Principlesmentioning

confidence: 99%

“…However, these methods only focused on studying several shooting parameters and how these parameters affected the shooting quality. Various human perceptions, such as visual fatigue, puppet-theater and cardboard effect and so on, also link to the shooting quality, many camera shooting methods have introduced human visual perception into their models [15]. Kim et al [16] proposed a visual fatigue metric that could predict the levels of visual fatigue result from stereoscopic images by considering the impact of shooting distance and inter-camera distance.…”

Section: Introductionmentioning

confidence: 99%

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