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Dive into the research topics where David LaRose is active.

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Featured researches published by David LaRose.


Medical Imaging 2000: Image Processing | 2000

Transgraph: interactive intensity-based 2D/3D registration of x-ray and CT data

David LaRose; John E. Bayouth; Takeo Kanade

This paper presents work towards a system for intra-operative registration of 3D CT data to 2D X-ray radiographs. The registration procedure involves iterative comparison of Digitally Reconstructed Radiographs (DRRs) with X-ray images acquired during surgery. A new data structure called a Transgraph permits rapid generation of DRRS, and greatly speeds up the registration process. The underlying data structures are described, and the registration algorithm is evaluated for application to an existing image guided radiosurgery system.


medical image computing and computer assisted intervention | 2000

Post-Operative Measurement of Acetabular Cup Position Using X-Ray/CT Registration

David LaRose; Laura Cassenti; Branislav Jaramaz; James E. Moody; Takeo Kanade; Anthony M. DiGioia

This paper describes a system for measuring acetabular implant orientation following total hip replacement surgery. After a manual initialization procedure, the position of the pelvis is established relative to a pair of nearly orthogonal radiographs by automatically registering to pre-operative pelvic CT data. The pose of the cup is then recovered by projecting a 3D surface model into the two images. A phantom study is presented in which this pose is expressed relative to well defined anatomical landmarks and compared to measurements obtained using an image-guided surgery system.


ieee international conference on information visualization | 1999

A robust image mosaicing technique capable of creating integrated panoramas

Yihong Gong; Guido Proietti; David LaRose

Existing featureless image mosaicing techniques do not pay enough attention to the robustness of the image registration process, and are not able to combine multiple video sequences into an integrated panoramic view. These problems have certainly restricted applications of the existing methods for large-scale panorama composition, video content overview and information visualization. In this paper we propose a method that is able to create an integrated panoramic view for a virtual camera from multiple video sequences which each records a part of a vast scene. The method further enables the user to visualize the integrated panoramic view from an arbitrary viewpoint and orientation by altering the parameters of the virtual camera. To ensure a robust and accurate panoramic view synthesis from long video sequences, we attach a global positioning system (GPS) to the video camera, and utilize its output data to provide initial estimates for the cameras translational parameters, and to prevent the camera parameter recovery process from falling into spurious local minima. Our proposed method is not only suitable for video content overview but also applicable to the areas of information visualization, team collaborations, disastrous rescues, etc. The experimental results demonstrate the effectiveness of the proposed method.


international conference on applied robotics for power industry | 2010

High performance teleoperation for industrial work robots

Bill Ross; David LaRose; Hank Wilde; L. Douglas Baker

We have developed a set of perception and control technologies to support practical and effective teleoperation of industrial work robots for use in a variety of industries and tasks. This system is suitable for control of remote mobile robots and manipulators in industrial settings, contaminated or hazardous areas, and on remote platforms over low-bandwidth communications links and would be especially well suited to a variety of applications in power generation and transmission. Our approach combines high-quality, bandwidth-adaptable, 360 degree video, a persistent virtual 3D view of the workspace which is built on the fly, and a robust operator control system to provide a highly effective teleoperation system. This system provides good operator performance over a wide range of available bandwidths, enhanced operator situational awareness, and is resistant to the adverse effects of communications interruptions and slow-downs.


Archive | 2002

Systems and methods for monitoring behavior informatics

Daniela Brunner; Vijay Gondhalekar; Emer Leahy; David LaRose; William P. Ross


Archive | 2007

Method for predicting treatment classes using animal behavior informatics

Daniela Brunner; Vijay Gondhalekar; Emer Leahy; David LaRose; William P. Ross


Archive | 2001

Iterative x-ray/ct registration using accelerated volume rendering

Takeo Kanade; David LaRose


Archive | 2015

SELECTING VEHICLE TYPE FOR PROVIDING TRANSPORT

William P. Ross; John Bares; David LaRose; Matthew Sweeney


Archive | 2004

System and method for assessing motor and locomotor deficits and recovery therefrom

Daniela Brunner; William P. Ross; David LaRose


Archive | 2011

Computer vision and machine learning software for grading and sorting plants

David Stager; Michael Knoll Sergi-Curfman; David LaRose; Christopher C. Fromme; James Andrew Bagnell; Elliot Allen Cuzzillo; L. Douglas Baker

Collaboration


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William P. Ross

Carnegie Mellon University

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David Prasser

Carnegie Mellon University

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Peter Hansen

Carnegie Mellon University

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Emer Leahy

Carnegie Mellon University

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John Bares

Carnegie Mellon University

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Takeo Kanade

Carnegie Mellon University

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Vijay Gondhalekar

Carnegie Mellon University

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L. Douglas Baker

Carnegie Mellon University

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