Vision system for 3d reconstruction with telecentric lens

Authors:
José Guadalupe Rico Espino;José-Joel Gonzalez-Barbosa;Roberto Augusto Gómez Loenzo;Diana Margarita Córdova Esparza;Ricardo Gonzalez-Barbosa
Affiliations:
CIATEQ, A.C., Unidad Bernardo Quintana, México;CICATA-IPN Unidad Querétaro, México;Universidad Autónoma de Queretaro, México;CICATA-IPN Unidad Querétaro, México;División Ciencias de la Vida, Universidad de Guanajuato, México
Venue:
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Year:
2012

Citing 6
Cited 0

Numerical recipes in C (2nd ed.): the art of scientific computing

Numerical recipes in C (2nd ed.): the art of scientific computing
Machine vision system for curved surface inspection

Machine Vision and Applications - special issue on high performance computing for industrial visual inspection
A three-dimensional automated visual inspection system for SMT assembly

Computers and Industrial Engineering
Create free-form digital shapes with hands

GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Shape from Depth Discontinuities

Emerging Trends in Visual Computing
Constrained 3D shape reconstruction using a combination of surface fitting and registration

Computer-Aided Design

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses 3D object reconstruction from images acquired by camera-telecentric lense array. Firstly, we present a geometric model of an array camera-telecentric lens. Then we developed and implemented the calibration process using a planar checkerboard pattern. At the same time, we developed a three-dimensional reconstruction system based on contour extraction on objects with dimensions less than 50mm of diameter. Finally an analysis of the uncertainty model parameters and performance reconstruction of 3D objects are presented.