Banca de DEFESA: LUIS ENRIQUE ORTIZ FERNANDEZ

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : LUIS ENRIQUE ORTIZ FERNANDEZ
DATA : 05/07/2017
HORA: 10:00
LOCAL: Sala 02 - DCA
TÍTULO:

A generic approach for estimation and modeling of the RMS error in depth data from 3D vision sensors 


PALAVRAS-CHAVES:

Stereo vision, depth error, Stereolabs ZED, nVIDIA Jetson TK1, OpenCV, cloud points


PÁGINAS: 78
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
ESPECIALIDADE: Processamento Gráfico (Graphics)
RESUMO:

Several devices are used in artificial vision, like MS Kinect v1/v2, the stereo cameras PG Bumblebee XB3 and Stereolabs ZED, among others. Since they are all devices that estimate depth data, they may have errors. In this work, we present the design and implementation of a generic method for estimating RMS error in depth data provided by any device capable of generating data of type RGB-D, that is, an image and the depth map, to the same time. To verify the method, an embedded system was built based on the NVIDIA Jetson TK1 and three sensors, the two versions of the MS Kinect and the ZED stereo camera. At the moment of data collection, the mathematical models of the RMS error were established for each device and, at the end, an analysis was made of the accuracy of each one. It is intended that the proposed method be the basis for other future works, such as p. ex. achieve a 3D reconstruction using the mix of depth data captured by various 3D sensors, with the lowest possible RMS error. In addition, it is sought that the error information obtained through the method can be used in any application to obtain more accurate results.


MEMBROS DA BANCA:
Presidente - 1345674 - LUIZ MARCOS GARCIA GONCALVES
Externo ao Programa - 1170845 - BRUNO MARQUES FERREIRA DA SILVA
Externo à Instituição - ANDERSON ABNER DE SANTANA SOUZA - UERN
Notícia cadastrada em: 23/05/2017 08:17
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