Distortion analysis in stereoscopic images

Son, Jung‐Young; Gruts, Yuri N.; Chun, Joohwan; Choi, Yong Jin; Bahn, Jieun; Bobrinev, V. I.

doi:10.1117/1.1431249

Cited by 15 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The distortions in the stereoscopic images are derived from many reasons [4] but mainly caused by the differences between left and right eye images. The differences will be counted by image characteristics such as color, brightness, resolution, noise and geometrical shape such as magnification, keystone, linearity, image center shift relative to each other in both vertical and horizontal directions and image rotation relative to each other.…”

Section: Allowable Differences Between Left and Light Eye Imagesmentioning

confidence: 99%

Stereo photography with hand phone

et al. 2006

Self Cite

View full text Add to dashboard Cite

A mobile phone (Hand Phone) is designed to display stereo images taken from a camera attached to it.Software of processing a stereo image pair to be displayed on the display panel of the phone is developed and a detachable viewing zone forming optics is installed for the stereoscopic image generation without moirés. Since the phone is operating only in the palm of the phone's owner, special cares needed in photographing the image pair are described.

show abstract

Section: Allowable Differences Between Left and Light Eye Imagesmentioning

confidence: 99%

Stereo photography with hand phone

et al. 2006

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, it has been known that stereoscopic images are always subject to distortions whenever the photographing and viewing conditions are not the same [1]. It is obvious that since the stereoscopic image on the display panel/screen is from a stereoscopic camera, the viewers will perceive the image differently if viewers' eyes are not in the same position as the cameras in the photographing stage.…”

Section: Introductionmentioning

confidence: 98%

Comparisons of perceived images from three different stereo camera arrangements

et al. 2011

Self Cite

View full text Add to dashboard Cite

The distortions in the perceived images of three different camera arrangements of parallel, converging and diverging are compared for different inter-camera distances. The parallel also reveals distortion in both depth and image size when inter-camera distance is small. The converging and diverging are showing opposite behaviors in their distortion appearance. The distortions are most for the diverging but it can enhance the protruding depth, especially when the intercamera distance is much smaller than the interocular distance.

show abstract

“…The two most important parameters related to 3D images will be perceivable image depth [1][2][3][4][5][6] and depth resolution because they are the main parameters when discriminating 3D images from plane images. The perceivable image depth and the depth resolution are defined as the depth range perceived by viewers from an image of a scene and the range divided by the resolvable number of depth layers within the range, respectively.…”

Section: Introductionmentioning

confidence: 99%

Depth resolution in three-dimensional images

et al. 2013

Self Cite

View full text Add to dashboard Cite

The depth of field of a camera defines the depth range to be covered by the camera. In 3D images, the resolvable depth range is also determined by the depth of field (DOF). Hence the depth resolution and resolvable number of depth layers obtainable with a given 3D display will be defined within the DOF when the display has the same resolution as the total camera resolution of the array in the horizontal direction. The depth resolution and resolvable number of depth layers are mathematically derived in terms of the circle of confusion. The resolvable number of depth layers is approximately linearly proportional to the camera distance and inversely proportional to the aperture diameter of the camera objective. The accuracies of the derivations are examined experimentally. The results show that the DOF extends slightly and the depth resolution improves up to 20% more than that predicted by theory for the given experimental condition. This means that the depth resolution derived has more than 80% accuracy.

show abstract

Distortion analysis in stereoscopic images

Cited by 15 publications

References 3 publications

Stereo photography with hand phone

Stereo photography with hand phone

Comparisons of perceived images from three different stereo camera arrangements

Depth resolution in three-dimensional images

Contact Info

Product

Resources

About