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Leafsnap: A Computer Vision System for Automatic Plant Species Identification

Kumar, Neeraj ; Belhumeur, Peter N. ; Biswas, Arijit ; Jacobs, David W. ; Kress, W. John ; Lopez, Ida C. ; Soares, João V. B. Fitzgibbon, Andrew ; Schmid, Cordelia ; Lazebnik, Svetlana ; Perona, Pietro ; Sato, Yoichi

Computer Vision – ECCV 2012, p.502-516 [Periódico revisado por pares]

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Título:
Leafsnap: A Computer Vision System for Automatic Plant Species Identification
Autor: Kumar, Neeraj ; Belhumeur, Peter N. ; Biswas, Arijit ; Jacobs, David W. ; Kress, W. John ; Lopez, Ida C. ; Soares, João V. B.
Fitzgibbon, Andrew ; Schmid, Cordelia ; Lazebnik, Svetlana ; Perona, Pietro ; Sato, Yoichi
Assuntos: Computer Vision System ; Contour Point ; Histogram Intersection ; Input Image ; Leaf Image
É parte de: Computer Vision – ECCV 2012, p.502-516
Descrição: We describe the first mobile app for identifying plant species using automatic visual recognition. The system – called Leafsnap – identifies tree species from photographs of their leaves. Key to this system are computer vision components for discarding non-leaf images, segmenting the leaf from an untextured background, extracting features representing the curvature of the leaf’s contour over multiple scales, and identifying the species from a dataset of the 184 trees in the Northeastern United States. Our system obtains state-of-the-art performance on the real-world images from the new Leafsnap Dataset – the largest of its kind. Throughout the paper, we document many of the practical steps needed to produce a computer vision system such as ours, which currently has nearly a million users.
Títulos relacionados: Lecture Notes in Computer Science
Editor: Berlin, Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês

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