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» Object Recognition Using Segmentation for Feature Detection
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SSIAI
2000
IEEE
15 years 10 months ago
Multi-Level Shape Recognition Based on Wavelet-Transform Modulus Maxima
In this paper we propose a new approach to shape recognition based on the wavelet transform modulus maxima. And apply it to the problem of content-based indexing and retrieval of ...
Faouzi Alaya Cheikh, Azhar Quddus, Moncef Gabbouj
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 10 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...
VR
2010
IEEE
108views Virtual Reality» more  VR 2010»
15 years 4 months ago
Twinkle: Interacting with physical surfaces using handheld projector
We propose a novel interface called Twinkle for interacting with an arbitrary physical surface using a handheld projector and a camera. When a user flashes a projection light on ...
Takumi Yoshida, Yuki Hirobe, Hideaki Nii, Naoki Ka...
MVA
2002
226views Computer Vision» more  MVA 2002»
15 years 5 months ago
Adaptive Background Estimation and Shadow Removal in Indoor Scenes
2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes c...
Junya Morita, Yoshio Iwai, Masahiko Yachida
TROB
2008
118views more  TROB 2008»
15 years 5 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak