Results 11 - 20 of 7,213

Multi-Modal Volume Registration by Maximization of Mutual Information

by William M. Wells, III, Paul Viola, Ron Kikinis , 1996
"... A new information-theoretic approach is presented for finding the registration of volumetric medical images of differing modalities. Registration is achieved by adjustment of the relative pose until the mutual information between images is maximized. In our derivation of the registration procedure, ..."
Abstract - Cited by 458 (23 self) - Add to MetaCart
A new information-theoretic approach is presented for finding the registration of volumetric medical images of differing modalities. Registration is achieved by adjustment of the relative pose until the mutual information between images is maximized. In our derivation of the registration procedure

A fast direct Fourier-based algorithm for subpixel registration of images

by Harold S. Stone, Michael T. Orchard, Ee-chien Chang, Stephen A. Martucci, Senior Member - IEEE Transactions on Geoscience and Remote Sensing , 2001
"... Abstract—This paper presents a new direct Fourier-based algorithm for performing image-to-image registration to subpixel accuracy, where the image differences are restricted to translations and uniform changes of illumination. The algorithm detects the Fourier components that have become unreliable ..."
Abstract - Cited by 43 (1 self) - Add to MetaCart
Abstract—This paper presents a new direct Fourier-based algorithm for performing image-to-image registration to subpixel accuracy, where the image differences are restricted to translations and uniform changes of illumination. The algorithm detects the Fourier components that have become unreliable

PCA-SIFT: A more distinctive representation for local image descriptors

by Yan Ke, Rahul Sukthankar , 2004
"... Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently evaluated a variety of approaches and identified the SIFT [11] algorithm as being the most resistant to common image deforma ..."
Abstract - Cited by 591 (6 self) - Add to MetaCart
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently evaluated a variety of approaches and identified the SIFT [11] algorithm as being the most resistant to common image

Automatic Image Registration Using Mexican Hat Wavelet, Invariant Moment, and Radon Transform

by Jignesh N Sarvaiya, Dr. Suprava Patnaik
"... Abstract — Image registration is an important and fundamental task in image processing used to match two different images. Given two or more different images to be registered, image registration estimates the parameters of the geometrical transformation model that maps the sensed images back to its ..."
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reference image. A feature-based approach to automated image-to-image registration is presented. The characteristic of this approach is that it combines Mexican-Hat Wavelet, Invariant Moments and Radon Transform. Feature Points from both images are extracted using Mexican-Hat Wavelet and control

SUBMITTED TO IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (UNDER REVIEW) 1 Conflation of Vector Buildings with Imagery

by Isaac Sledge, Student Member, James Keller, Wenbo Song, Curt Davis
"... Abstract—This letter presents a system to solve the vector-to-imagery building conflation problem. To drive the system, struc-ture outlines in high-resolution images are extracted via a shape-driven level set scheme. Shape and relative position features are then computed for the image extracted buil ..."
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polygonal object conflation, and image-to-image registration are also possible. I.

Registration of Airborne Scanner Imagery Using Akima Local Quintic Polynomial Interpolation

by Rafael Wiemker - Environmental Research Institute of Michigan , 1996
"... Evaluation and analysis of most remotely sensed data requires careful image-to-image registration or ortho-rectification (geocoding). Photogrammetric practice has shown that polynomial transformation functions are useful for registration of aerial photographs. However, multi- and hyperspectral remot ..."
Abstract - Cited by 7 (3 self) - Add to MetaCart
Evaluation and analysis of most remotely sensed data requires careful image-to-image registration or ortho-rectification (geocoding). Photogrammetric practice has shown that polynomial transformation functions are useful for registration of aerial photographs. However, multi- and hyperspectral

Marker tracking and HMD calibration for a video-based augmented reality conferencing system

by Hirokazu Kato - in The 2nd International Workshop on Augmented Reality (IWAR 99 , 1999
"... We describe an augmented reality conferencing system which uses the overlay of virtual images on the real world. Remote collaborators are represented on Virtual Monitors which can be freely positioned about a user in space. Users can collaboratively view and interact with virtual objects using a sha ..."
Abstract - Cited by 527 (26 self) - Add to MetaCart
shared virtual whiteboard. This is possible through precise virtual image registration using fast and accurate computer vision techniques and HMD calibration. We propose a method for tracking fiducial markers and a calibration method for optical see-through HMD based on the marker tracking. 1.

Lucas-Kanade 20 Years On: A Unifying Framework: Part 3

by Simon Baker, Ralph Gross, Iain Matthews - International Journal of Computer Vision , 2002
"... Since the Lucas-Kanade algorithm was proposed in 1981 image alignment has become one of the most widely used techniques in computer vision. Applications range from optical flow, tracking, and layered motion, to mosaic construction, medical image registration, and face coding. Numerous algorithms hav ..."
Abstract - Cited by 706 (30 self) - Add to MetaCart
Since the Lucas-Kanade algorithm was proposed in 1981 image alignment has become one of the most widely used techniques in computer vision. Applications range from optical flow, tracking, and layered motion, to mosaic construction, medical image registration, and face coding. Numerous algorithms

Image Registration using Multiquadric Functions, the Finite Element Method, Bivariate Mapping Polynomials and the Thin Plate Spline

by David N. Fogel, Larry R. Tinney , 1996
"... In this report, three methods of image-to-image registration using control points are evaluated. We assume that ephemeris sensor and platform data are unavailable. These techniques are the polynomial method, the piecewise linear transformation and the multiquadric method. The motivation for this res ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
In this report, three methods of image-to-image registration using control points are evaluated. We assume that ephemeris sensor and platform data are unavailable. These techniques are the polynomial method, the piecewise linear transformation and the multiquadric method. The motivation

REGISTRATION OF OPTICAL DATA WITH HIGH-RESOLUTION SAR DATA: A NEW IMAGE REGISTRATION SOLUTION

by T. Bahr A, X. Jin B
"... Accurate image-to-image registration is critical for many image processing workflows, including georeferencing, change detection, data fusion, image mosaicking, DEM extraction and 3D modeling. Users need a solution to generate tie points accurately and geometrically align the images automatically. T ..."
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Accurate image-to-image registration is critical for many image processing workflows, including georeferencing, change detection, data fusion, image mosaicking, DEM extraction and 3D modeling. Users need a solution to generate tie points accurately and geometrically align the images automatically
Results 11 - 20 of 7,213