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Amruta Karmarkar

dblp:21/5158 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › omnidirectional camera
catadioptric camera
0.012000
360 x 360 Mosaics · CVPR 2000
Computational photography and imaging
omnidirectional imaging
0.012000
360 x 360 Mosaics · CVPR 2000
Computational photography and imaging
panoramic imaging
0.012000
360 x 360 Mosaics · CVPR 2000
Computational photography and imaging › image stitching
spherical mosaicing
0.012000
360 x 360 Mosaics · CVPR 2000

Methods — techniques the papers use, named apart from their topics

rotation estimation · 0.0image blending · 0.0
YearPublicationVenuePosition
2000 360 x 360 Mosaics
abstract
Current mosaicing methods use narrow field of view cameras to acquire image data. This poses problems when computing a complete spherical mosaic. First, a large number of images are needed to capture a sphere. Second, errors in mosaicing make it difficult to complete the spherical mosaic without seams. Third, with a hand-held camera it is hard for the user to ensure complete coverage of the sphere. This paper presents two approaches to spherical mosaicing. The first is to rotate a 360 degree camera about a single axis to capture a sequence of 360 degree strips. The unknown rotations between the strips are estimated and the strips are blended together to obtain a spherical mosaic. The second approach seeks to significantly enhance the resolution of the computed mosaic by capturing 360 degree slices rather than strips. A variety of slice cameras are proposed that map a thin 360 degree sheet of rays onto a large image area. This results in the capture of high resolution slices despite the use of a low resolution video camera. A slice camera is rotated using a motorized turntable to obtain regular as well as stereoscopic spherical mosaics.
Shree K. Nayar, Amruta Karmarkar
CVPR2