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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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Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy

TL;DR: The proposed vision-based method for detecting apoptosis (programmed cell death), which is essential for non-perturbative monitoring of cell expansion, achieved promising performance in the experiments with hematopoietic stem cell (HSC) populations, and a transductive learning framework is adopted to utilize unlabeled data in addition to labeled data.

Gauge freedoms and uncertainty modeling for three-dimensional computer vision

TL;DR: In this paper, the Cramer-Rao lower bound is extended to include parameter indeterminacies, which can have significant impact on the accuracy of the estimated 3D structure.

Computer analysis of regular repetitive textures

TL;DR: Regular rcpttitive texam arc common in rcal-workl scaux, occurring in both n a n d and man-made environments, and their analysis is important for image segmentatim and fos shape recovery from surf= texture.

GPU-accelerated Real-Time 3D Tracking for Humanoid Autonomy

TL;DR: In this article, a robust model-based 3D tracking system by programmable graphics hardware to run online at frame-rate during operation of a humanoid robot and to efficiently auto-initialize.