Results 31 to 40 of about 296 (144)
Abstract Purpose To develop an efficient navigator‐based motion and temporal B0‐shift correction technique for 3D multi‐echo gradient‐echo (ME‐GRE) MRI for quantitative susceptibility mapping (QSM) and R2*$$ {\mathrm{R}}_2^{\ast } $$ mapping. Theory and Methods A dual‐echo 3D stack‐of‐spiral navigator was designed to interleave with the Cartesian multi‐
Yuguang Meng +3 more
wiley +1 more source
TransPrint: A Method for Fabricating Flexible Transparent Free‐Form Displays
TransPrint is a method for fabricating flexible, transparent free‐form displays based on electrochromism. Using screen‐printing or inkjet printing of electrochromic ink, plus a straightforward assembly process, TransPrint enables rapid prototyping of displays by nonexperts.
Walther Jensen +5 more
wiley +1 more source
Abstract Background Ophthalmoscopy is a valuable tool in clinical practice. We report the use of a novel smartphone‐based handheld device for visualisation and photo‐documentation of the ocular fundus in veterinary medicine. Methods Selected veterinary patients of a referral ophthalmology service were included if one or both eyes had clear ocular media,
Lionel Sebbag +4 more
wiley +1 more source
On‐Board Correction of Systematic Odometry Errors in Differential Robots
An easier method for the calibration of differential drive robots is presented. Most calibration is done on‐board and it is not necessary to spend too much time taking note of the robot’s position. The calibration method does not need a large free space to perform the tests. The bigger space is merely in a straight line, which is easy to find.
S. Maldonado-Bascón +4 more
wiley +1 more source
Extrinsics autocalibration for dense planar visual odometry [PDF]
A single downward-looking camera can be used as a high-precision visual odometry sensor in a wide range of real-world mobile robotics applications. In particular, a simple and computationally efficient dense alignment approach can take full advantage of ...
Zienkiewicz, J, Davison, A
core +1 more source
Abstract This paper proposes a new deep‐learning framework for drive‐by bridge condition monitoring. The proposed approach represents a bridge monitoring regime that enables the presence, type, location, and severity of bridge damage to be identified purely from measurements taken on a passing vehicle, without needing any pre‐measured training data ...
Robert Corbally, Abdollah Malekjafarian
wiley +1 more source
Autocalibration in the Presence of Critical Motions
Autocalibration is a difficult problem. Not only is its computation very noisesensitive, but there also exist many critical motions that prevent the estimation of some of the camera parameters. When a "stratified" approach is considered, affine
Demirdjian, David +8 more
core +1 more source
Matching algorithm performance analysis for autocalibration method of stereo vision
Stereo vision is one of the interesting research topics in the computer vision field. Two cameras are used to generate a disparity map, resulting in the depth estimation. Camera calibration is the most important step in stereo vision.
Setyawan, Raden Arief; Brawijaya University +3 more
core +2 more sources
As it has been noted several times in literature, the difficult part of autocalibration efforts resides in the structural non-linearity of the search for the plane at infinity.
Andrea Fusiello +3 more
core +1 more source

