Shikhar Shrestha
Papers
1
Total Citations
59
H-Index
1
About
Shikhar Shrestha is a leading researcher in computational imaging and depth-sensing technologies, with a focus on advancing time-of-flight (ToF) systems for real-world applications. His most-cited work, "Computational imaging with multi-camera time-of-flight systems" (2016, 59 citations), pioneers the design of phased multi-camera ToF arrays, addressing critical challenges in depth accuracy and field-of-view coverage. This contribution has direct implications for robotics, autonomous vehicles, human-computer interaction, and augmented/virtual reality, where precise depth perception is essential. Shrestha’s research bridges hardware innovation and algorithmic optimization, enabling robust 3D sensing in dynamic environments. His impact is reflected in the adoption of his methods by both academic and industrial communities, with his work cited as foundational for next-generation depth cameras. Beyond this flagship paper, Shrestha continues to explore multi-sensor fusion and real-time computational imaging, pushing the boundaries of how machines perceive depth. His achievements highlight a commitment to solving practical problems in machine vision, making him a key figure in the evolution of depth-sensing technology.
Research Focus
Key Achievements
Top Papers
- 1Computational imaging with multi-camera time-of-flight systems59 citations · 2016