Evolving Conspicuous Point Detectors for Camera Trajectory Estimation

  • Daniel Hernández
  • Gustavo Olague
  • Eddie Clemente
  • León Dozal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 175)

Abstract

The interaction between a visual system with its environment is studied in terms of a purposive vision system with the aim of establishing a link between perception and action. A system that performs visuomotor tasks requires a selective perception process in order to execute specific motion actions. This combination is understood as a visual behavior. This paper presents a solution to the process of synthesizing visual behaviors through genetic programming, resulting in specialized visual routines that are used to estimate the trajectory of a camera within a vision based simultaneous localization and map building system. Thus, the experiments were carried out with a real-working system consisting of a robotic manipulator in a hand-eye configuration. The main idea is to evolve a conspicuous point detector based on the concept of an artificial dorsal stream. The results on this paper show that it is in fact possible to find key points in an image through a visual attention process in combination with an evolutionary algorithm to design specialized visual behaviors.

Keywords

Visual Attention Pareto Front Interest Point Dorsal Stream Visual Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Daniel Hernández
    • 1
  • Gustavo Olague
    • 2
  • Eddie Clemente
    • 3
  • León Dozal
    • 1
  1. 1.EvoVision Project, Computer Science DepartmentCICESEEnsenadaMéxico
  2. 2.CICESE, Carretera Ensenada-TijuanaEnsenadaMéxico
  3. 3.Tecnológico de Estudios Superiores de EcatepecEcatepec de MorelosMéxico

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