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ISMAR
2007
IEEE
13 years 10 months ago
A Method for Predicting Marker Tracking Error
Many Augmented Reality (AR) applications use marker-based vision tracking systems to recover camera pose by detecting one or more planar landmarks. However, most of these systems ...
Russell M. Freeman, Simon J. Juliet, Anthony Steed
ICNSC
2007
IEEE
13 years 10 months ago
A Smart Vision Sensor for Detecting Risk Factors of a Toddler's Fall in a Home Environment
This paper presents a smart vision sensor for environmental hazards (such as slippery surfaces) and detecting risk factors of a toddler's fall in an indoor home perilous activ...
Hana Na, Sheng Feng Qin, David Wright
ICPR
2000
IEEE
14 years 5 months ago
Fingerprint Image Enhancement Using Filtering Techniques
Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in th...
Shlomo Greenberg, Mayer Aladjem, Daniel Kogan, Its...
TITS
2002
103views more  TITS 2002»
13 years 4 months ago
Artificial vision in extreme environments for snowcat tracks detection
This paper describes the image processing techniques designed to localize the tracks of snowcats for the automation of transportation of goods and people during the Italian scienti...
Alberto Broggi, Alessandra Fascioli
ICCV
2007
IEEE
14 years 6 months ago
N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation
In this paper, a new approach for object detection and pose estimation is introduced. The contribution consists in the conception of entities permitting stable detection and relia...
Stefan Hinterstoisser, Selim Benhimane, Nassir Nav...