Xiaoling Long

Papers

Total Citations

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About

Xiaoling Long is a computer vision researcher whose work focuses on geometric modeling and calibration for non-conventional camera systems. In her most-cited paper, "Rotation Estimation for Omni-directional Cameras Using Sinusoid Fitting" (2021), she introduced a novel method for estimating camera rotation from omnidirectional imagery by fitting sinusoidal patterns to image features—an approach that simplifies pose estimation for wide-angle and 360-degree cameras. This contribution addresses a key challenge in autonomous navigation and augmented reality, where accurate orientation data is critical. Though her citation count is still growing, the work has already garnered attention for its elegance and practical applicability, earning 4 citations in its early years. Long’s research bridges theoretical geometry and real-world sensor deployment, offering efficient solutions for robotics and immersive media. Her ongoing efforts promise to further advance the robustness of omnidirectional vision systems, making her a rising voice in the field of computational imaging.