XỬ LÝ ẢNH TRONG CƠ ĐIỆN TỬ
Machine Vision
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TRƯỜNG ĐẠI HỌC BÁCH KHOA HÀ NỘI
Giảng viên: TS. Nguyễn Thành Hùng
Đơn vị: Bộ môn Cơ điện tử, Viện Cơ khí
Hà Nội, 2021
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Chapter 7. Object Recognition
❖1. Introduction
❖2. Pattern Matching
❖3. Feature-based Methods
❖4. Artificial Neural Networks
Simon Achatz, State of the art of object recognition techniques, Technische Universitat Muchen.
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1. Introduction
▪Object recognition: localize and to classify objects.
▪General concept:
➢training datasets containing images with known and labelled objects;
➢extracts different types of information (colours, edges, geometric forms) based on the
chosen algorithm
➢for any new image the same information is gathered and compared to the training
dataset to find the most suitable classification.
Simon Achatz, State of the art of object recognition techniques, Technische Universitat Muchen.
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1. Introduction
▪Applications:
➢robots in industrial environments,
➢face or handwriting recognition
➢autonomous systems such as modern cars which use object recognition for pedestrian
detection, emergency brake assistant and so on.
➢…
Simon Achatz, State of the art of object recognition techniques, Technische Universitat Muchen.
1. Introduction
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▪General Object Recognition Strategies
➢Appearance-based method
➢Feature-based method
➢Interpretation Tree
➢Pattern Matching
➢Artificial Neural Networks
Simon Achatz, State of the art of object recognition techniques, Technische Universitat Muchen.