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CVPR
2009
IEEE
14 years 3 days ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
KI
2002
Springer
13 years 5 months ago
Acquisition of Landmark Knowledge from Static and Dynamic Presentation of Route Maps
This contribution reports on ongoing collaborative research at the University of Stanford, Department of Psychology, and the University of Hamburg, Department for Informatics. Ext...
Paul U. Lee, Heike Tappe, Alexander Klippel
ICCV
2011
IEEE
12 years 5 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
ISBI
2008
IEEE
14 years 6 months ago
Investigating implicit shape representations for alignment of livers from serial CT examinations
In this paper, we examine the use of implicit shape representations for nonrigid registration of serial CT liver examinations. Using ground truth in the form of corresponding land...
Nathan D. Cahill, Grace Vesom, Lena Gorelick, Joan...
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
13 years 11 months ago
Multi-robot SLAM with Unknown Initial Correspondence: The Robot Rendezvous Case
Abstract— This paper presents a new approach to the multirobot map-alignment problem that enables teams of robots to build joint maps without initial knowledge of their relative ...
Xun S. Zhou, Stergios I. Roumeliotis