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» Using Photometric Invariants for 3D Object Recognition
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ICPR
2002
IEEE
15 years 10 months ago
3-D Modeling of an Outdoor Scene by Multi-Baseline Stereo Using a Long Sequence of Images
Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with hig...
Tomokazu Sato, Masayuki Kanbara, Naokazu Yokoya, H...
IJCV
2002
233views more  IJCV 2002»
14 years 9 months ago
Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera
Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with hig...
Tomokazu Sato, Masayuki Kanbara, Naokazu Yokoya, H...
BMVC
2010
14 years 7 months ago
Live Feature Clustering in Video Using Appearance and 3D Geometry
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
Adrien Angeli, Andrew Davison
KES
2005
Springer
15 years 3 months ago
3-D Building Reconstruction Using IKONOS Multispectral Stereo Images
This paper presents an effective strategy to extract the buildings and to reconstruct 3-D buildings using high-resolution multispectral stereo satellite images. Proposed scheme con...
Hong-Gyoo Sohn, Choung-Hwan Park, Joon Heo
ICIP
2009
IEEE
15 years 10 months ago
Classifying Urban Landscape In Aerial Lidar Using 3d Shape Analysis
The classification of urban landscape in aerial LiDAR point clouds is useful in 3D modeling and object recognition applications in urban environments. In this paper, we introduce ...