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» The Emergence of Visual Object Recognition
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ICPR
2008
IEEE
14 years 2 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
14 years 1 months ago
Fast Computational Methods for Visually Guided Robots
— This paper proposes numerical algorithms for reducing the computational cost of semi-supervised and active learning procedures for visually guided mobile robots from O(M3 ) to ...
Maryam Mahdaviani, Nando de Freitas, Bob Fraser, F...
GI
2009
Springer
14 years 12 days ago
Activity Recognition using Optical Sensors on Mobile Phones
: Each mobile phone with a built-in CMOS sensor can inherently be seen as sophisticated optical sensor being able to analyze its environment in terms of visual events and its own m...
Michael Wittke, Uwe Jänen, Aret Duraslan, Emr...
HRI
2006
ACM
14 years 1 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
BMVC
2010
13 years 5 months ago
Large-scale Dictionary Learning For Local Coordinate Coding
Local coordinate coding has recently been introduced to learning visual feature dictionary and achieved top level performance for object recognition. However, the computational co...
Bo Xie, Mingli Song, Dacheng Tao