TY - GEN
T1 - Biological models for active vision
T2 - 9th International Conference on Computer Vision Systems, ICVS 2013
AU - Terzić, Kasim
AU - Lobato, David
AU - Saleiro, Mário
AU - Martins, Jaime
AU - Farrajota, Miguel
AU - Rodrigues, J. M.F.
AU - Du Buf, J. M.H.
PY - 2013/8/13
Y1 - 2013/8/13
N2 - Building a general-purpose, real-time active vision system completely based on biological models is a great challenge. We apply a number of biologically plausible algorithms which address different aspects of vision, such as edge and keypoint detection, feature extraction, optical flow and disparity, shape detection, object recognition and scene modelling into a complete system. We present some of the experiments from our ongoing work, where our system leverages a combination of algorithms to solve complex tasks.
AB - Building a general-purpose, real-time active vision system completely based on biological models is a great challenge. We apply a number of biologically plausible algorithms which address different aspects of vision, such as edge and keypoint detection, feature extraction, optical flow and disparity, shape detection, object recognition and scene modelling into a complete system. We present some of the experiments from our ongoing work, where our system leverages a combination of algorithms to solve complex tasks.
UR - http://www.scopus.com/inward/record.url?scp=84881241398&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39402-7_12
DO - 10.1007/978-3-642-39402-7_12
M3 - Conference contribution
AN - SCOPUS:84881241398
SN - 9783642394010
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 113
EP - 122
BT - Computer Vision Systems - 9th International Conference, ICVS 2013, Proceedings
Y2 - 16 July 2013 through 18 July 2013
ER -