DSpace Kolekce:http://hdl.handle.net/11025/263932024-03-29T08:56:41Z2024-03-29T08:56:41ZComputer graphics and vision labs in ArgentinaGiusti, Armando deAbásolo, María JoséNaiouf, Marcelohttp://hdl.handle.net/11025/295782020-07-02T08:36:58Z2015-01-01T00:00:00ZNázev: Computer graphics and vision labs in Argentina
Autoři: Giusti, Armando de; Abásolo, María José; Naiouf, Marcelo
Editoři: Skala, Václav
Abstrakt: This article describes the Computer Graphics and Vision research that are being developed by three universities’
laboratories in Argentina: III-LIDI Institute of Computing Research at National University of La Plata, VyGLab
Visualization and Computer Graphics Laboratory at South National University, and CGLab Computer Graphics
Laboratory at National University of San Luis.2015-01-01T00:00:00ZGiusti, Armando deAbásolo, María JoséNaiouf, MarceloSignal and image processing in the Center of Cuba: center for studies on electronics and information technologies (CEETI)Ferrer, Carlos A.Taboada-Crispí, AlbertoLorenzo-Ginori, Juan V.http://hdl.handle.net/11025/295772020-07-02T08:36:58Z2015-01-01T00:00:00ZNázev: Signal and image processing in the Center of Cuba: center for studies on electronics and information technologies (CEETI)
Autoři: Ferrer, Carlos A.; Taboada-Crispí, Alberto; Lorenzo-Ginori, Juan V.
Editoři: Skala, Václav
Abstrakt: A brief description of CEETI is given, addressing its history, research lines, main scientific results and current
projects.2015-01-01T00:00:00ZFerrer, Carlos A.Taboada-Crispí, AlbertoLorenzo-Ginori, Juan V.Building 3D object representation using SURF local featuresJaszuk, MarekSzostek, GrażynaStarzyk, Janusz A.http://hdl.handle.net/11025/295762020-07-02T08:36:58Z2015-01-01T00:00:00ZNázev: Building 3D object representation using SURF local features
Autoři: Jaszuk, Marek; Szostek, Grażyna; Starzyk, Janusz A.
Editoři: Skala, Václav
Abstrakt: The paper discusses an approach to create 3D representation of physical objects. The aim is creating a visual
representation of an object, which allows for robust recognition, irrespectively of the distance and the direction of
observation. The approach uses a set of rotational views of an object, which are transformed into a set of keypoints
using the SURF visual feature detector. The key points are then collected to build a 3D model of the object. Such
representation allows both for recognizing the objects based on local characteristics, and distinguishing different
global geometry transformations that are needed to recognize the object in its 3D environment.2015-01-01T00:00:00ZJaszuk, MarekSzostek, GrażynaStarzyk, Janusz A.Feature based assessment of forming force behavior in incremental sheet formingPriyadarshi, SatwikJain, Prashant K.Roy, J. J.http://hdl.handle.net/11025/295752020-07-02T08:36:58Z2015-01-01T00:00:00ZNázev: Feature based assessment of forming force behavior in incremental sheet forming
Autoři: Priyadarshi, Satwik; Jain, Prashant K.; Roy, J. J.
Editoři: Skala, Václav
Abstrakt: Forming forces and their behavior plays an important role in defining the mechanism of any sheet metal forming
process. In Incremental sheet forming, due to inherent complexities, study of forming force behavior is a
challenging task. In absence of geometry independent techniques, only studies specific to certain axisymmetric
and planer symmetric geometries are available. Present work deals with development of a novel methodology for
the study of behavior of forming forces in geometries with multiple features by mapping components of forming
forces obtained with dynamometer readings to spatial coordinates of tool path coordinates. Techniques such as
Nearest Neighbor Search, RANSAC and calculation of l2 norm are employed for this very purpose.2015-01-01T00:00:00ZPriyadarshi, SatwikJain, Prashant K.Roy, J. J.