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ICIAR
2009
Springer
13 years 8 months ago
3D Human Pose Estimation from Static Images Using Local Features and Discriminative Learning
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...
Suman Sedai, Farid Flitti, Mohammed Bennamoun, Du ...
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
14 years 4 months ago
Adaptive Sampling for Estimating a Scalar Field using a Robotic Boat and a Sensor Network
Abstract— This paper introduces an adaptive sampling algorithm for a mobile sensor network to estimate a scalar field. The sensor network consists of static nodes and one mobile...
Bin Zhang, Gaurav S. Sukhatme
MOBIHOC
2005
ACM
14 years 9 months ago
Sextant: a unified node and event localization framework using non-convex constraints
Determining node and event locations is a canonical task for many wireless network applications. Yet dedicated infrastructure for determining position information is expensive, en...
Emin Gün Sirer, Rohan Murty, Saikat Guha
IJCV
2008
192views more  IJCV 2008»
13 years 10 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
CVPR
2012
IEEE
12 years 17 days ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...