Tag: computer vision
Computer vision and convolutional neural networks
Computer vision is a key aspect of artificial intelligence that is critical to many applications, from robots movements to self-driving cars and from medical imaging to products recognition in manufacturing plants. This MIT course presents the issues of computer vision and how they are handled with Convolutional Neural Networks together with the latest domains of…
9. Constraints: Visual Object Recognition
Borders and faces orientation Discerning borders of objects and face orientation with vectors, an initial computer vision theory seemed plausible but too difficult to implement. Orthographic projection In orthographic projection, the correspondence of a system of points of three known objects and one unknown object creates a system of equations with a unique solution of…
7. Constraints: Interpreting Line Drawings
Computer vision Empirical approach Using lines on pictures of real-world objects, the edges between shapes could serve to identify the number of objects in it. The different intersections possible generally form two types of trihedral vertexes to identify shapes: arrow vertexes fork vertexes Theoretical approach A second approach uses convex and concave lines and boundaries…