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Also, when working with real-time oriented computer vision applications, it is customary to present the computation time as frames per second (FPS).
On the application side, we plan to adapt our approach to the domain of service-oriented computing for assisting the development, composition and integration of computer vision applications.
Visual classification of facial pose is desirable for computer vision applications such as face recognition, human computer interaction, and affective computing.
This paper introduces a multi-layer MIMD system for computer vision applications.
Feature matching is an important step for many computer vision applications.
SIFT has shown a great success in various computer vision applications.
Computer vision applications constitute one of the key drivers for embedded many-core architectures.
Convolutional neural networks (CNNs) are used frequently in several computer vision applications.
Facial landmark detection is an important issue in many computer vision applications about faces.
Image segmentation is an important processing step in many image, video and computer vision applications.
The focus is based on Otsu method image thresholding technique since it is widely used in many computer vision applications.
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