Computer vision can be used to increase the interactivity of existing and new camera-based applications. It can be used to build novel interaction methods and user interfaces. The computing and sensing needs of this kind of applications require a careful balance between quality and performance, a practical trade-off. This chapter shows the importance of using all the available resources to hide application latency and maximize computational throughput. The experience gained during the developing of interactive applications is utilized to characterize the constraints imposed by the mobile environment, discussing the most important design goals: high performance and low power consumption. In addition, this chapter discusses the use of heterogeneous computing via asymmetric multiprocessing to improve the throughput and energy efficiency of interactive vision-based applications.
|Title of host publication||Multi-Core Computer Vision and Image Processing for Intelligent Applications|
|Number of pages||27|
|Publication status||Published - 2017|
|MoE publication type||A3 Part of a book or another research book|
Bordallo Lopez, M. (2017). Mobile Platform Challenges in Interactive Computer Vision. In Multi-Core Computer Vision and Image Processing for Intelligent Applications (pp. 47-73). IGI Global. https://doi.org/10.4018/978-1-5225-0889-2.ch002