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Camillo J. Taylor

Researcher at University of Pennsylvania

Publications -  191
Citations -  11600

Camillo J. Taylor is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 47, co-authored 184 publications receiving 10193 citations. Previous affiliations of Camillo J. Taylor include Yale University & Westinghouse Electric.

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Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach

TL;DR: This work presents a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs, which combines both geometry-based and imagebased techniques, and presents view-dependent texture mapping, a method of compositing multiple views of a scene that better simulates geometric detail on basic models.
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A vision-based formation control framework

TL;DR: In this article, the authors describe a framework for cooperative control of a group of nonholonomic mobile robots that allows them to build complex systems from simple controllers and estimators, and guarantee stability and convergence in a wide range of tasks.
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Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image

TL;DR: This paper investigates the problem of recovering information about the configuration of an articulated object, such as a human figure, from point correspondences in a single image by considering the foreshortening of the segments of the model in the image.
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Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments

TL;DR: This work proposes a method to formulate trajectory generation as a quadratic program (QP) using the concept of a Safe Flight Corridor (SFC), a collection of convex overlapping polyhedra that models free space and provides a connected path from the robot to the goal position.
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Structure and motion from line segments in multiple images

TL;DR: A new method for recovering the three dimensional structure of a scene composed of straight line segments using the image data obtained from a moving camera using an objective function which measures the total squared distance in the image plane between the observed edge segments and the projections (perspective) of the reconstructed lines.