It takes the average reader 3 hours and 14 minutes to read Face Detection and Gesture Recognition for Human-Computer Interaction by Ming-Hsuan Yang
Assuming a reading speed of 250 words per minute. Learn more
Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.
Face Detection and Gesture Recognition for Human-Computer Interaction by Ming-Hsuan Yang is 188 pages long, and a total of 48,504 words.
This makes it 63% the length of the average book. It also has 59% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 25 minutes to read Face Detection and Gesture Recognition for Human-Computer Interaction aloud.
Face Detection and Gesture Recognition for Human-Computer Interaction is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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