283 research outputs found
Laryngoscopic Image Stitching for View Enhancement and Documentation - First Experiences
One known problem within laryngoscopy is the spatially limited view onto the hypopharynx and the larynx through the endoscope. To examine the complete larynx and hypopharynx, the laryngoscope can be rotated about its main axis, and hence the physician obtains a complete view. If such examinations are captured using endoscopic video, the examination can be reviewed in detail at a later time. Nevertheless, in order to document the examination with a single representative image, a panorama image can be computed for archiving and enhanced documentation. Twenty patients with various clinical findings were examined with a 70 rigid laryngoscope, and the video sequences were digitally stored. The image sequence for each patient was then post-processed using an image stitching tool based on SIFT features, the RANSAC approach and blending. As a result, endoscopic panorama images of the larynx and pharynx were obtained for each video sequence. The proposed approach of image stitching for laryngoscopic video sequences offers a new tool for enhanced visual examination and documentation of morphologic characteristics of the larynx and the hypopharynx
Dual-fisheye lens stitching for 360-degree imaging
Dual-fisheye lens cameras have been increasingly used for 360-degree
immersive imaging. However, the limited overlapping field of views and
misalignment between the two lenses give rise to visible discontinuities in the
stitching boundaries. This paper introduces a novel method for dual-fisheye
camera stitching that adaptively minimizes the discontinuities in the
overlapping regions to generate full spherical 360-degree images. Results show
that this approach can produce good quality stitched images for Samsung Gear
360 -- a dual-fisheye camera, even with hard-to-stitch objects in the stitching
borders.Comment: ICASSP 17 preprint, Proc. of the 42nd IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March
201
Efficient 3D stereo vision stabilization for multi-camera viewpoints
In this paper, an algorithm is developed in 3D Stereo vision to improve
image stabilization process for multi-camera viewpoints. Finding accurate
unique matching key-points using Harris Laplace corner detection method
for different photometric changes and geometric transformation in images.
Then improved the connectivity of correct matching pairs by minimizing
the global error using spanning tree algorithm. Tree algorithm helps to
stabilize randomly positioned camera viewpoints in linear order. The unique
matching key-points will be calculated only once with our method.
Then calculated planar transformation will be applied for real time video
rendering. The proposed algorithm can process more than 200 camera
viewpoints within two seconds
Image Mosaicing using Cylindrical Mapping
The objective of this paper is to provide extended field of view for aerial surveillance in MAV’s. Aerial surveillance on unmanned flying vehicles using a single monocular camera is a trade-off between the level of detail obtained at low altitudes and degree of coverage obtained by flying the vehicle at high altitudes. The effective footprint of the camera is smaller if the aerial vehicle flies at higher altitudes. On the other hand, the region can be quickly searched from a higher altitude. The demand for high detail and wider coverage can be satisfied using Image Mosaicing i.e. the stitching of selected frames of a video by estimating the camera motion between the frames and thereby registering successive frames of the video to arrive at the mosaic
Globally optimal stitching of tiled 3D microscopic image acquisitions
Motivation: Modern anatomical and developmental studies often require high-resolution imaging of large specimens in three dimensions (3D). Confocal microscopy produces high-resolution 3D images, but is limited by a relatively small field of view compared with the size of large biological specimens. Therefore, motorized stages that move the sample are used to create a tiled scan of the whole specimen. The physical coordinates provided by the microscope stage are not precise enough to allow direct reconstruction (Stitching) of the whole image from individual image stacks
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