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Mostrando ítems 1-10 de 1622
Quiet eye and performance in sport: A meta-analysis
(Human Kinetics Publishers Inc., 2016)
THE TRIPLICITY OF SPACE AND EVERYDAY MOBILITY FOR THE STUDY OF SOCIOSPATIAL FRAGMENTATION
(Univ Federal Fluminense, 2021-07-01)
This article aims to discuss the relevance of a broad concept of daily mobility by studying socio-spatial fragmentation processes in urban contexts. For this purpose, we applied the Lefebvrian idea regarding the triplicity ...
Modeling and measuring the spatial relation "along": Regions, contours and fuzzy sets
(ELSEVIER SCI LTDOXFORD, 2012)
The analysis of spatial relations among objects in an image is an important vision problem that involves both shape analysis and structural pattern recognition. In this paper, we propose a new approach to characterize the ...
Psychophysical measurements of luminance and chromatic spatial and temporal contrast sensitivity in Duchenne muscular dystrophy
(Pontificia Universidade Católica do Rio de JaneiroUniversidade de BrasíliaUniversidade de São Paulo, 2011)
In children with Duchenne muscular dystrophy, color vision losses have been related to dystrophin deletions downstream of exon 30, which affect a dystrophin isoform, Dp260, present in the retina. To further evaluate visual ...
Residential security spatial dimension: Movement flow and visual fields
(2008)
This article shortly analysis the residential habitat security main perspectives in our country. It is said that the dominant focus it has been, with an exaggerated emphasis on, defensive spatial appropriation above the ...
A Qualitative-probabilistic approach to autonomous mobile robot self localisation and self vision calibration
(Utrecht UniversityUtrecht, 2013-07-07)
Typically, the spatial features of a robot's environment are specified using metric coordinates, and well-known mobile robot localisation techniques are used to track the exact robot position. In this paper, a qualitativ ...
Spatial-resolution independent object detection framework for aerial imagery
Earth surveillance through aerial images allows more accurate identification and characterization of objects present on the surface from space and airborne platforms. The progression of deep learning and computer vision ...