Inspection of the Geometry of Objects through Structured Light and Stereo Vision

Luis Ismael Minchala Avila; Luis Eduardo Garza Castañón; Eduardo Robinson Calle

doi:10.1109/Andescon.2012.59

Inspection of the Geometry of Objects through Structured Light and Stereo Vision

Luis Ismael Minchala Avila
, Luis Eduardo Garza Castañón
, Eduardo Robinson Calle

Instituto Tecnologico de Estudios Superiores de Monterrey
Shool of Engineering and Sienes Tenologio de Monterrey
Universidad Politécnica Salesiana

Producción científica: Contribución a una conferencia › Póster › revisión exhaustiva

Resumen

Summary form only given. Geometry of the objects is invariant to light, rotation, position, dirtiness, etc., and for quality inspection purposes in a manufacture line it is a main concern. Gathering 3D information from objects under inspection is done in this research work, combining stereo vision and structured light in order to simplify the correspondence problem in the stereo images pair. All the results are quantified in a prototype built with two cameras and a structured light source.

Idioma original	Inglés
DOI	https://doi.org/10.1109/Andescon.2012.59
Estado	Publicada - 10 jun. 2013

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10.1109/Andescon.2012.59

https://ieeexplore.ieee.org/document/6424156

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abstract = "Summary form only given. Geometry of the objects is invariant to light, rotation, position, dirtiness, etc., and for quality inspection purposes in a manufacture line it is a main concern. Gathering 3D information from objects under inspection is done in this research work, combining stereo vision and structured light in order to simplify the correspondence problem in the stereo images pair. All the results are quantified in a prototype built with two cameras and a structured light source.",

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AB - Summary form only given. Geometry of the objects is invariant to light, rotation, position, dirtiness, etc., and for quality inspection purposes in a manufacture line it is a main concern. Gathering 3D information from objects under inspection is done in this research work, combining stereo vision and structured light in order to simplify the correspondence problem in the stereo images pair. All the results are quantified in a prototype built with two cameras and a structured light source.

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