Feature extraction learning for stereovision based robot navigation system

Vijay S. Rajpurohit, M. M. Manohara Pai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stereovision based systems represent the real world information in the form of a gray scale image known as Depth map with intensity of each pixel representing the distance of that pixel from the cameras. For static indoor environment where the surface is smooth, the ground information remains constant and can be removed to locate and identify the boundaries of the obstacles of interest in a better way. This paper proposes a novel approach for ground surface removal using a trained Multi layer Neural Network and a novel object clustering algorithm to reconstruct the objects of interest from the Depth map generated by the stereovision algorithm. Histogram analysis and the object reconstruction algorithm are used to test the results.

Original languageEnglish
Title of host publicationProceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
Pages362-365
Number of pages4
DOIs
Publication statusPublished - 01-12-2006
Event14th International Conference on Advanced Computing and Communications, ADCOM 2006 - Surathkal, India
Duration: 20-12-200623-12-2006

Conference

Conference14th International Conference on Advanced Computing and Communications, ADCOM 2006
CountryIndia
CitySurathkal
Period20-12-0623-12-06

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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