Title Scientific research stay in advanced 3D vision systems Español
Institution Center for Research and Development of Digital Technology
Instituto Politécnico Nacional
Professor Rigoberto Juarez-Salazar
Description The student will know essential mathematical tools for the understanding and design of optical profilometers. This research stay will provide calibration techniques and data processing methods such that students can build their own optical profilometer. Upon completion, students will have the experience to adapt the acquired knowledge to their projects, ranging from 3D object digitization, image restoration, and visual vehicle navigation.
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Content

  1. Introduction
  2. Linear algebra
  3. Homogeneous coordinates
  4. Camera models
  5. Phase demodulation
  6. Triangulation
  7. Fringe projection systems
  8. Calibration
  9. Applications

Student profile

We welcome undergraduate and graduate students of computer sciences, mechatronics, physics, mathematics, or a related area. Stay's requirements only cover basic knowledge of linear algebra and scientific computing (for example, Matlab or Python). The student must be interested in topics such as digitization of 3D objects, computer vision, visual navigation, optical systems, image processing, scientific computing, and algorithm design.

Bibliography

[1] R. Juarez-Salazar et al., "Operator-based homogeneous coordinates: application in camera document scanning" Opt. Eng., 56(7), 070801, 2017.

[2] R. Juarez-Salazar et al., "Distorted pinhole camera modeling and calibration" Appl. Opt. 59(36), 11310-11318, 2020.

[3] R. Juarez-Salazar et al., “Key concepts for phase-to-coordinate conversion in fringe projection systems” Appl. Opt. 58(18), 4828-4834, 2019.

[4] R. Juarez-Salazar et al., "How do phase-shifting algorithms work?" Eur. J. Phys. 39(6), 065302, 2018.

[5] R. Juarez-Salazar et al., "Flexible camera-projector calibration using superposed color checkerboards" Opt. Laser Eng., 120, 59-65, 2019.

[6] R. Juarez-Salazar et al., "Flexible camera-projector calibration using superposed color checkerboards" Opt. Laser Eng., 120, 59-65, 2019.

[7] R. Juarez-Salazar et al., “Are camera, projector, and camera–projector calibrations different?” Applied Optics 62(22), 5999-6006, 2023.

[8] J. Geng, “Structured-light 3D surface imaging: a tutorial” Adv. Opt. Photon. 3(2), 128-160, 2011.

Programa Delfín 2024

Verano de la Investigación Científica del Programa Delfín 2024, CITEDI-IPN. Álbum

Programa Delfín 2023

Verano de la Investigación Científica del Programa Delfín 2023, CITEDI-IPN. Álbum

Programa Delfín 2022

Verano de la Investigación Científica del Programa Delfín 2022, CITEDI-IPN. Álbum

Programa Delfín 2021

Verano de la Investigación Científica del Programa Delfín 2021, CITEDI-IPN. Álbum

Programa Delfín 2019

Verano de la Investigación Científica del Programa Delfín 2019, CITEDI-IPN. Álbum

♦ Reconstrucción y despliegue 3D con control de perspectiva

♦ Deformación de vehículos siniestrados mediante proyección de luz

♦ Sistema multiámara para detección de posición de un robot móvil

♦ Objetos 3D para publicidad con realidad aumentada

♦ Inspección de jitomate usando digitalización 3D

♦ Reconstrucción 3D para integración de museos virtuales

♦ Medición de objetos 3D en control de calidad

♦ Medición de deformación de cráneo de bebés

♦ Medición de espalda en el diagnóstico de lesiones de columna vertebral

♦ Registro facial 3D para aplicaciones de seguridad

♦ Detección de riesgo en asentamientos urbanos

♦ Seguimiento de trayectoria de cohetes