Jagath Samarabandu
Papers
15
Total Citations
428
H-Index
9
About
Jagath Samarabandu is a prominent computer vision and robotics researcher whose work has profoundly shaped the field of autonomous mobile robot navigation and image-based text extraction. His research focuses on two interconnected domains: intelligent text detection in complex visual scenes and vision-based navigation systems for autonomous robots. Samarabandu's most influential contribution, "Multiscale Edge-Based Text Extraction from Complex Images" (2006), has garnered over 140 citations and introduced a robust algorithm capable of automatically detecting and extracting text across varied image conditions. This work laid the groundwork for practical applications in scene understanding and human-robot interaction. Complementing this, his edge-based text region extraction research for indoor robot navigation (78 citations) demonstrated how scene text — from nameplates to information signs — could serve as reliable navigational landmarks. Beyond text detection, Samarabandu made significant strides in simultaneous localization and mapping (SLAM), corridor detection, and monocular vision-based navigation, collectively contributing to the foundational toolkit for indoor autonomous systems. His 2007 survey on vision-based SLAM (66 citations) remains a valuable reference for robotics researchers. With over 400 cumulative citations across his published work, Samarabandu's contributions represent an essential bridge between computer vision theory and real-world robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1Multiscale Edge-Based Text Extraction from Complex Images140 citations · 2006
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- 6Corridor Line Detection for Vision Based Indoor Robot Navigation20 citations · 2006
- 7Robust and Efficient Feature Tracking for Indoor Navigation19 citations · 2009
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- 9Monocular vision for robot navigation9 citations · 2006
- 10Feature Motion for Monocular Robot Navigation8 citations · 2006