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Takeo Kanade

Researcher at Carnegie Mellon University

Publications -  800
Citations -  107709

Takeo Kanade is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Motion estimation & Image processing. The author has an hindex of 147, co-authored 799 publications receiving 103237 citations. Previous affiliations of Takeo Kanade include National Institute of Advanced Industrial Science and Technology & Hitachi.

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Journal ArticleDOI

IMU Self-Calibration Using Factorization

TL;DR: This paper presents a convenient self-calibration method for an inertial measurement unit (IMU) using matrix factorization, which exploits the bilinear form of an IMU measurement, which is the product of intrinsic calibration parameters and exerted loads.
Proceedings ArticleDOI

Multiple motion scene reconstruction from uncalibrated views

TL;DR: A reconstruction method of multiple motion scenes, which are the scenes containing multiple moving objects, from uncalibrated views, that first performs a projective reconstruction using a bilinear factorization algorithm, and then converts the projective solution to a Euclidean one by enforcing metric constraints.
Proceedings ArticleDOI

Design and flight testing of a gain-scheduled H/sub /spl infin// loop shaping controller for wide-envelope flight of a robotic helicopter

TL;DR: This paper implemented and flight tested a gain-scheduled H/sub /spl infin// loop shaping controller on the Carnegie Mellon University (CMU) Yamaha R-50 robotic helicopter, the first of its kind to be flight tested on a helicopter (manned or unmanned).
Proceedings ArticleDOI

Non-rigid shape and motion recovery: degenerate deformations

TL;DR: In this paper, the problem of 3D non-rigid shape and motion recovery from a monocular video sequence, under the degenerate deformations, was studied, where the shape of a deformable object was regarded as a linear combination of certain shape bases.