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CVPR
2007
IEEE
13 years 11 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
SIGCSE
1997
ACM
121views Education» more  SIGCSE 1997»
13 years 11 months ago
Application-based modules using apprentice learning for CS 2
A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
Owen L. Astrachan, Robert F. Smith, James T. Wilke...
ISMAR
2006
IEEE
14 years 1 months ago
Online camera pose estimation in partially known and dynamic scenes
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on ofï...
Gabriele Bleser, Harald Wuest, Didier Stricker
CVPR
2008
IEEE
14 years 9 months ago
Measuring camera translation by the dominant apical angle
This paper provides a technique for measuring camera translation relatively w.r.t. the scene from two images. We demonstrate that the amount of the translation can be reliably mea...
Akihiko Torii, Bastian Leibe, Michal Havlena, Tom&...
CVIU
2004
122views more  CVIU 2004»
13 years 7 months ago
Depth distortion under calibration uncertainty
There have been relatively little works to shed light on the effects of errors in the intrinsic parameters on motion estimation and scene reconstruction. Given that the estimation...
Loong Fah Cheong, Chin-Hwee Peh