Sudhanshu Mittal
Papers
1
Total Citations
10
H-Index
1
About
Sudhanshu Mittal is a computer vision researcher whose work focuses on the challenges of depth sensing and motion distortion in robotic perception. His key research areas include rolling shutter correction, motion blur removal, and structured light range sensors, particularly as applied to consumer-grade depth cameras like the Microsoft Kinect. Mittal’s major contribution lies in explicitly modeling and correcting the combined effects of electronic rolling shutters and motion blur in depth cameras—a problem largely overlooked in robotics literature. His 2016 paper on this topic, which has garnered 10 citations, provides a foundational framework for understanding how sensor motion distorts depth data and offers practical correction methods. This work is notable for bridging a critical gap between theoretical sensor modeling and real-world robotic applications, enabling more accurate perception in dynamic environments. By addressing these distortions, Mittal’s research helps improve the reliability of depth sensors in mobile robotics, augmented reality, and autonomous systems, where precise spatial awareness is essential. His contributions continue to inform both academic research and practical sensor calibration techniques.
Research Focus
Key Achievements
Top Papers
- 1Rolling shutter and motion blur removal for depth cameras10 citations · 2016