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Widespread possibilities applications, from surveillance to search and rescue operation,  make Micro Air Vehicles (MAVs) flexible platforms. However, due to their small size, MAVs have limited processing power and cannot  fall back to standard localization techniques. To address this  issue, this thesis describes an efficient vision-based onboard localization