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International Conference on Recent Trends in Image Processing and Pattern Recognition

RTIP2R 2021: Recent Trends in Image Processing and Pattern Recognition pp 119–133Cite as

Complex Object Detection Using Light-Field Plenoptic Camera

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1576))

Abstract

Identifying objects with a lot of complex features in an uncontrolled scene is a challenging task in the image processing research field. This article presents the application of robust and invariant feature descriptors together with an optimal, iterative and probabilistic methodology. These methods let to achieve an application of object detection through a homographic transformation matrix. This work is built on the Raytrix R42 Plenoptic camera, for which the camera calibration process is introduced. The results present a homographic transformation that relates spatial information of the reference object in an uncontrolled scene. This approach put forward an efficient performance that overcomes bad lighting and occlusion problems.

Supported by ÓMICAS Program.

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Funding

This work was funded by the OMICAS program: “Optimización Multiescala In-silico de Cultivos Agrícolas Sostenibles (Infraestructura y validación en Arroz y Caña de Azúcar)”, anchored at the Pontificia Universidad Javeriana in Cali and funded within the Colombian Scientific Ecosystem by The World Bank, the Colombian Ministry of Science, Technology and Innovation, the Colombian Ministry of Education, the Colombian Ministry of Industry and Tourism, and ICETEX, under grant ID: FP44842-217-2018 and OMICAS Award ID: 792-61187.

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Authors and Affiliations

  1. School of Engineering, Pontificia Universidad Javeriana Bogota, Cra. 7 No. 40-62, Bogota, 110311, Colombia

    Edgar S. Correa, Carlos A. Parra, Pedro R. Vizcaya, Francisco Carlos Calderon & Julian D. Colorado

Authors
  1. Edgar S. Correa
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  2. Carlos A. Parra
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  3. Pedro R. Vizcaya
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  4. Francisco Carlos Calderon
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  5. Julian D. Colorado
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Corresponding author

Correspondence to Edgar S. Correa .

Editor information

Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    KC Santosh

  2. Central University of Karnataka, Gulbarga, India

    Ravindra Hegadi

  3. Indian Statistical Institute, Kolkata, India

    Umapada Pal

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Correa, E.S., Parra, C.A., Vizcaya, P.R., Calderon, F.C., Colorado, J.D. (2022). Complex Object Detection Using Light-Field Plenoptic Camera. In: Santosh, K., Hegadi, R., Pal, U. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2021. Communications in Computer and Information Science, vol 1576. Springer, Cham. https://doi.org/10.1007/978-3-031-07005-1_12

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  • DOI: https://doi.org/10.1007/978-3-031-07005-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07004-4

  • Online ISBN: 978-3-031-07005-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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