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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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Proceedings ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments
Sikang Liu,Michael Watterson,Kartik Mohta,Ke Sun,Subhrajit Bhattacharya,Camillo J. Taylor,Vijay Kumar +6 more
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.
Journal ArticleDOI
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.