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Processing and understanding of visual data has a significant importance in many applications such as robotics and vision aid devices. Extracting image features is one of the important tasks in computer vision. This paper focuses on KAZE features algorithm, due to its good performance. KAZE features is a multi-scale 2D feature detection and description algorithm. It describes 2D features in a non-linear...
Deep Convolutional Networks (ConvNets) are currently superior in benchmark performance, but the associated demands on computation and data transfer prohibit straightforward mapping on energy constrained wearable platforms. The computational burden can be overcome by dedicated hardware accelerators, but it is the sheer amount of data transfer, and level of utilization that determines the energy-efficiency...
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