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2000

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Real-Time Camera Parameter Estimation from Images for a Wearable Vision System

14 years 9 days ago

Real-Time Camera Parameter Estimation from Images for a Wearable Vision System

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In this paper, we propose a method of estimating camera parameters for annotating 3D virtual objects with a wearable vision system. The proposed method tracks natural feature points using a doubled color histogram matching and template matching. The model-view matrix calculation method consists of three algorithms for PnP problems and uses each algorithm selectively. The experimental system using the proposed method works at 5 to 10 frames per second.

Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue

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Color Histogram Matching | Matrix Calculation Method | Method Tracks | MVA 2000 | MVA 2007 |

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Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	2000
Where	MVA
Authors	Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue

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