Takahiro Hori

Papers

Total Citations

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About

Takahiro Hori is a researcher whose work centers on computer vision and object recognition, with a particular focus on advancing generic object recognition systems. His major contributions lie in developing novel approaches to represent and identify objects in images, moving beyond conventional methods. In his most-cited work, "Generic object recognition by graph structural expression" (2012, 5 citations), Hori introduced a method that leverages graph structural expression to improve recognition accuracy, addressing limitations in traditional bag-of-features (BoF) approaches. This technique has practical implications for fields like robotic vision and image retrieval, where robust object recognition is critical. While his citation count is modest, Hori’s research represents a thoughtful step toward more sophisticated visual understanding systems, offering a structural perspective that could inspire future work in feature representation and pattern recognition. His contributions are particularly valuable for students and researchers exploring graph-based methods in computer vision.