Konstantinos A. Tsintotas
Papers
21
Total Citations
689
H-Index
14
About
Konstantinos A. Tsintotas is a prolific researcher whose work spans robotics perception, computer vision, and intelligent systems, with a particular focus on simultaneous localization and mapping (SLAM) and visual place recognition. He is best known for his extensive contributions to loop closure detection (LCD), the fundamental robotics challenge of determining whether a mobile agent has returned to a previously visited location. His 2022 survey on visual loop closure detection, amassing 154 citations, has become an essential reference in the field, while his complementary work on appearance-based methods — including the "Bag of Tracked Words" framework and proximity graph-based pipelines — demonstrates a consistent drive toward efficient, scalable solutions. Tsintotas has also made meaningful contributions to embedded computer vision, developing lightweight architectures for real-time hand pose estimation, human depth estimation, and segmentation on resource-constrained hardware. More recently, he has extended his reach into affective computing through recurrent neural network-based emotion recognition and into industrial applications with a technology maturity framework for Industry 5.0 machine vision systems. With over 560 citations across his most impactful publications, Tsintotas stands as a versatile and influential voice bridging theoretical robotics and practical, deployable intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 2Assigning Visual Words to Places for Loop Closure Detection76 citations · 2018
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- 9FastHand: Fast monocular hand pose estimation on embedded systems27 citations · 2021
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