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Books > Computing & IT > Applications of computing > Image processing
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Vision-Based Interaction (Paperback)
Loot Price: R1,240
Discovery Miles 12 400
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Vision-Based Interaction (Paperback)
Series: Synthesis Lectures on Computer Vision
Expected to ship within 10 - 15 working days
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In its early years, the field of computer vision was largely
motivated by researchers seeking computational models of biological
vision and solutions to practical problems in manufacturing,
defense, and medicine. For the past two decades or so, there has
been an increasing interest in computer vision as an input modality
in the context of human-computer interaction. Such vision-based
interaction can endow interactive systems with visual capabilities
similar to those important to human-human interaction, in order to
perceive non-verbal cues and incorporate this information in
applications such as interactive gaming, visualization, art
installations, intelligent agent interaction, and various kinds of
command and control tasks. Enabling this kind of rich, visual and
multimodal interaction requires interactive-time solutions to
problems such as detecting and recognizing faces and facial
expressions, determining a person's direction of gaze and focus of
attention, tracking movement of the body, and recognizing various
kinds of gestures. In building technologies for vision-based
interaction, there are choices to be made as to the range of
possible sensors employed (e.g., single camera, stereo rig, depth
camera), the precision and granularity of the desired outputs, the
mobility of the solution, usability issues, etc. Practical
considerations dictate that there is not a one-size-fits-all
solution to the variety of interaction scenarios; however, there
are principles and methodological approaches common to a wide range
of problems in the domain. While new sensors such as the Microsoft
Kinect are having a major influence on the research and practice of
vision-based interaction in various settings, they are just a
starting point for continued progress in the area. In this book, we
discuss the landscape of history, opportunities, and challenges in
this area of vision-based interaction; we review the
state-of-the-art and seminal works in detecting and recognizing the
human body and its components; we explore both static and dynamic
approaches to "looking at people" vision problems; and we place the
computer vision work in the context of other modalities and
multimodal applications. Readers should gain a thorough
understanding of current and future possibilities of computer
vision technologies in the context of human-computer interaction.
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