Stereomatching Using Radiometric Invariant Measures

نویسندگان

  • ALINA MIRON
  • SAMIA AINOUZ
  • ALEXANDRINA ROGOZAN
  • ABDELAZIZ BENSRHAIR
  • HORIA F. POP
چکیده

Stereo Matching can provide important information about the environment for many autonomous systems. Usually one of the demands for these systems is real-time or almost real-time running. This is why we studied how to adapt two stereo matching measures to this demand, by providing an implementation on a GPU . For stereo matching algorithm a simple local approach based on window aggregation was chosen, and as pixels measures were used two radiometric insensitive measures: Census transform and Daisy features. Also, in response to the on going debate of whether to use color information in stereo matching, experiments were performed using different color spaces for both of the radiometric insensitive measures considered.

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تاریخ انتشار 2011