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Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices.

, , , , and . IWSSIP, page 166-169. IEEE, (2015)

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Automatic Selection of the Optimal Local Feature Detector., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 284-289. Springer, (2016)Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems., , , and . Sensors, 15 (7): 16804-16830 (2015)Sensors, SLAM and Long-term Autonomy: A Review., , , and . AHS, page 285-290. IEEE, (2018)A Holistic Visual Place Recognition Approach using Lightweight CNNs for Severe ViewPoint and Appearance Changes., , , and . CoRR, (2018)I2S3 the Integrated Intelligent Secure Sensor Systems Project., , , , and . BLISS, page 137-140. IEEE Computer Society, (2007)Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data?, , , , , , and . VISIGRAPP (4: VISAPP), page 427-432. SciTePress, (2018)Hardware based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions., , and . CoRR, (2015)Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images., , , and . CoRR, (2018)Integrating Multi-Modal Circuit Features within an Efficient Encryption System., , , and . IAS, page 83-88. IEEE Computer Society, (2007)Improved targeting through collaborative decision-making and brain computer interfaces., , and . CTS, page 435-442. IEEE, (2013)