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Mostrando ítems 41-50 de 3374
Sistema de visão computacional para a contagem de sementes de soja
(Universidade Tecnológica Federal do ParanáCuritibaBrasilEspecialização em Automação IndustrialUTFPR, 2019-02-27)
Seed counting is an important step for the correct pricing and further commercialization of the seeds. The traditional methods of seed counting are based on the weigh or volume measurement, which is prone to errors. Thus, ...
Colour Naming considering the Colour Variability Problem
(Computación y Sistemas, 2009)
Camera calibration using detection and neural networks
(2013-01-01)
Several applications use robotic vision, such as a robot navigating through an unknown surrounding, can use vision as main navigate sensor. This paper focuses on studying camera calibration via stereo vision by means of ...
Efficient construction of multi-scale image pyramids for real-time embedded robot vision
(Universidade Tecnológica Federal do ParanáCuritibaPrograma de Pós-Graduação em Engenharia Elétrica e Informática Industrial, 2013-12-16)
Interest point detectors, or keypoint detectors, have been of great interest for embedded robot vision for a long time, especially those which provide robustness against geometrical variations, such as rotation, affine ...
Handwritten feature descriptor methods applied to fruit classification
(2018-01-01)
Several works have presented distinct ways to compute feature descriptor from different applications and domains. A main issue in Computer Vision systems is how to choose the best descriptor for specific domains. Usually, ...
Assessment of chestnut (Castanea spp.) slice quality using color images
(ELSEVIER SCI LTD, 2013)
Unbiased internal quality classification of Chestnuts (Castanea spp.) is extremely important to the fresh and processed industries. It can also be used as a tool for applied scientific studies, such as the training of ...
Semantic Segmentation of Underwater Environments Using DeepLabv3+ and Transfer Learning
(SpringerSG, 2022)
The semantic segmentation approach is essential in automated scene analysis, but its application in underwater environments is still limited. Datasets generally have insufficient labeled data, unbalanced data classes, and ...