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Comparison of Keypoint Detection Methods for Indoor and Outdoor Scene Recognition
2018
Journal of Automation, Mobile Robotics & Intelligent Systems
We describe an experimental study, based on several million video scenes, of seven keypoint detec on algorithms: BRISK, FAST, GFTT, HARRIS, MSER, ORB and STAR. It was observed that the probability distribu ons of selected keypoints are dras cally different between indoor and outdoor environments for all algorithms analyzed. This paper presents a simple method for dis nguishing between indoor and outdoor environments in a video sequence. The proposed method is based on the central loca on of
doi:10.14313/jamris_4-2017/32
fatcat:k4rlnyiemvctvdkpskc4aec2xy