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ICIP
2007
IEEE
16 years 8 months ago
Geometric Calibration of Third-Generation Computed Tomography Scanners from Scans of Unknown Objects using Complementary Rays
To achieve good image quality for computed tomography scans, it is important to accurately know the geometrical relationship between the x-ray source, detector, and axis of rotati...
Kevin M. Holt
DAGM
2006
Springer
15 years 10 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
BMVC
2010
15 years 4 months ago
Improving object classification using semantic attributes
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
Yu Su, Moray Allan, Frédéric Jurie
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 12 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
DAGM
2001
Springer
15 years 11 months ago
Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition
In this paper we introduce a formalism for optimal camera parameter selection for iterative state estimation. We consider a framework based on Shannon’s information theory and se...
Joachim Denzler, Christopher M. Brown, Heinrich Ni...