M
Manolis I. A. Lourakis
Researcher at Foundation for Research & Technology – Hellas
Publications - 84
Citations - 3846
Manolis I. A. Lourakis is an academic researcher from Foundation for Research & Technology – Hellas. The author has contributed to research in topics: Structure from motion & Motion estimation. The author has an hindex of 26, co-authored 79 publications receiving 3363 citations. Previous affiliations of Manolis I. A. Lourakis include French Institute for Research in Computer Science and Automation & University of Crete.
Papers
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Journal ArticleDOI
SBA: A software package for generic sparse bundle adjustment
TL;DR: Sba as mentioned in this paper is a C/C++ software package for generic bundle adjustment with high efficiency and flexibility regarding parameterization, which can be used to achieve considerable computational savings when applied to bundle adjustment.
Proceedings ArticleDOI
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects
Tomas Hodan,Pavel Haluza,Stepan Obdrzalek,Jiri Matas,Manolis I. A. Lourakis,Xenophon Zabulis +5 more
TL;DR: T-LESS as discussed by the authors is a dataset for estimating the 6D pose of texture-less rigid objects with no significant texture and no discriminative color or reflectance properties, but some of the objects are parts of others.
Book ChapterDOI
Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
TL;DR: The proposed method encompasses a collection of techniques that enable the modeling and detection of skin-colored objects as well as their temporal association in image sequences and is realized through a novel technique which can handle multiple skin- colored objects.
Book ChapterDOI
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
TL;DR: In this paper, an exact analytic technique is developed that facilitates the estimation of the Jacobian using calculations based on simple linear algebra, which is very useful in certain applications involving multivariate regression or the computation of the uncertainty related to estimates obtained through the Singular Value Decomposition.
Journal ArticleDOI
Toward automated generation of parametric BIMs based on hybrid video and laser scanning data
Ioannis Brilakis,Manolis I. A. Lourakis,Rafael Sacks,Silvio Savarese,Symeon E. Christodoulou,Jochen Teizer,Atefe Makhmalbaf +6 more
TL;DR: This paper outlines the technical approach proposed by a consortium of researchers that has gathered to tackle the ambitious goal of automating as-built modelling as far as possible, and the top level framework of the proposed solution is presented.