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3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
14 years 1 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
ICDAR
2007
IEEE
14 years 2 months ago
Iterated Document Content Classification
We report an improved methodology for training classifiers for document image content extraction, that is, the location and segmentation of regions containing handwriting, machine...
Chang An, Henry S. Baird, Pingping Xiu
CVPR
2012
IEEE
12 years 18 days ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
CBMS
2004
IEEE
14 years 1 months ago
Image Segmentation of Uterine Cervix Images for Indexing in PACS
The National Cancer Institute has collected a large database of digitized 35mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of le...
Shiri Gordon, Gali Zimmerman, Hayit Greenspan
ICPR
2000
IEEE
14 years 2 months ago
Moving Shadow and Object Detection in Traffic Scenes
We present an algorithm for segmentation of traffic scenes that distinguishes moving objects from cast shadows. Three image features at each pixel site are considered: brightness,...
Ivana Mikic, Pamela C. Cosman, Greg T. Kogut, Moha...