face detection and recognition for distributed systems
DESCRIPTION
Face Detection And Recognition For Distributed Systems. Meng Lin and Ermin Hod žić. Motivation. Security systems Digital cameras, adjustments Social networks Marketing. Fac e Detection. Locating and extracting faces in images Rectangles as output. Face Recognition. - PowerPoint PPT PresentationTRANSCRIPT
Face Detection And Recognition ForDistributed SystemsMeng Lin and Ermin Hodžić
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Motivation
• Security systems•Digital cameras, adjustments• Social networks•Marketing
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Face Detection
• Locating and extracting faces in images•Rectangles as output
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Face Recognition
• Identifying person on image• Finding closest match
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MapReduce model
•Parallel model• Framework for distributed systems•Hadoop local filesystem•Amazon Elastic MapReduce
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Solution: Face Detection
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Solution: Face Detection
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Solution: Face Detection
•Partitions based on face scale
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Solution: Face Recognition
•Distribution of recognizers•Recognizing in parallel•Reduce the most confident result
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Solution: Face Recognition
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Hadoop Image Handling
• Images as text•Collection of images in a big file•Utilize Hadoop default input format
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Hadoop Image Handling
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Evaluation
• Segmented Face Detection
•Raw OpenCV Face Detection
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Evaluation
• Face recognition
•More nodes = slower• Input and data transfer overhead• Jobs computationally cheap
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Conclusion
• Easily scalable parallel mode•Generalized framework• OpenCV just one sample tool
•A lot of communication• Low utilization of processors
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