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About

Hiroshi Ikeoka is a researcher in computational imaging and depth estimation, with a focus on innovative optical techniques for three-dimensional scene understanding. His work centers on using tilted lens optics to extract depth information from defocus blur, a method that overcomes the limited range of conventional autofocus systems. In his most-cited paper, “Real-Time Depth Estimation with Wide Detectable Range Using Horizontal Planes of Sharp Focus” (2011, 5 citations), he introduced a framework for estimating distance over a broad range by leveraging the unique geometry of a tilted lens. He further refined this approach in subsequent works, such as “Distance estimation using two different-aperture images obtained by tilted lens optics camera” (2012, 4 citations), where he compared an all-in-focus image with a ground-in-focus image to compute per-pixel blur, and “Depth estimation based on defocus blur using a single image taken by a tilted lens optics camera” (2013, 4 citations), which reduced the input to a single image. These contributions are particularly valuable for applications like autonomous driving and robotics, where robust, wide-range depth sensing is critical. Though his citation counts are modest, Ikeoka’s work represents a clever, hardware-driven alternative to stereo vision, demonstrating how optical design can simplify computational problems.