A. N. Rajagopalan

Indian Institute of Technology Bombay, Indian Institute of Technology Madras

Papers

Total Citations

238

H-Index

About

A. N. Rajagopalan is a leading figure in computational imaging and computer vision, whose work has fundamentally shaped how we recover depth and clarity from imperfect visual data. His seminal contribution, the 1999 monograph *Depth From Defocus: A Real Aperture Imaging Approach*, established a rigorous framework for estimating 3D structure from a single camera by analyzing blur, a technique that has garnered over 230 citations and remains a cornerstone of the field. This foundational work demonstrates his long-standing impact on geometric and physical models of image formation. More recently, Rajagopalan has driven innovation in real-world, dynamic environments. His 2024 work on gimbal-based imaging systems tackles the critical challenge of large-motion deblurring for robotics in surveillance and navigation, enabling clear vision during rapid panning. Extending his expertise to challenging underwater domains, his 2025 paper "Sea-Ing in Low-Light" pioneers simultaneous depth estimation and image restoration for low-light aquatic scenes, a vital step for autonomous underwater robotics. Across his career, Rajagopalan’s research consistently bridges theoretical optics with practical, real-time solutions, making him a pivotal figure for students and researchers interested in the intersection of physics, machine vision, and robotic perception.