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» Understanding Mechanical Motion: From Images to Behaviors
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ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
13 years 11 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
ECCV
2010
Springer
13 years 9 months ago
Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics
Since most current scene understanding approaches operate either on the 2D image or using a surface-based representation, they do not allow reasoning about the physical constrain...
Abhinav Gupta, Alexei A. Efros, Martial Hebert
CLEF
2009
Springer
13 years 2 months ago
Users' Image Seeking Behavior in a Multilingual Tag Environment
: This paper presents the results of a user study conducted in the framework of the Interactive Image Retrieval task at CLEF 2009. The main goal of our research is to understand th...
Miguel E. Ruiz, Pok Chin
ECCV
2004
Springer
14 years 6 months ago
The Least-Squares Error for Structure from Infinitesimal Motion
We analyze the least?squares error for structure from motion with a single infinitesimal motion ("structure from optical flow"). We present asymptotic approximations to ...
John Oliensis
KES
2004
Springer
13 years 10 months ago
Acquiring After-Sales Knowledge from Human Motions
Human motion is a key property to understand human’s knowledge and intention. A service technician moves to achieve his duty: facility maintenance. The series of his motions is t...
Satoshi Hori, Kota Hirose, Hirokazu Taki