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Flower Finder . Aharon Novogrodsky, Ruty Rinott, Julia Sivriver. Semi-automatic program for flower ID. Hiker see’s unknown flower along the way. Photos it Receives a ranked list of potential matches. Concept. Completely automated flower identification from photos is hard! Solutions:

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Flower Finder


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    1. Flower Finder Aharon Novogrodsky, Ruty Rinott, Julia Sivriver

    2. Semi-automatic program for flower ID • Hiker see’s unknown flower along the way • Photos it • Receives a ranked list of potential matches

    3. Concept • Completely automated flower identification from photos is hard! • Solutions: • Use extra information recorded by the phone: • Location • Date • Altitude • Time of day • Let the user do some work! • Identify your flower from a ranked list

    4. Implementation details • User: • Photos the flower • Indicates bounding box & flower center • Android: • Queries SQL DB to find potential matches by time & location • Extracts features from image • Ranks matches by feature similarities • User • Scrolls ranked list to identify flower

    5. Image processing algorithm • Implemented an algorithm by Hsu et al. • Stage 1: Flower Segmentation • Find 4 points on flower contour • Find best path connecting points • Stage 2: Feature extraction • Dominant colors • Shape(sharpness, roundness etc.) Tzu-Hsiang Hsu & Chang-Hsing Lee & Ling-Hwei Chen Multimed Tools Appl, 2010

    6. Demo