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Nowadays, more and more methods have been proposed to solve the problem of face detection based on computer implementation. Due to the variations in background, illumination, pose and facial expressions, the problem of machine face detection is complex. Recently, deep learning approaches achieve an impressive performance on face detection. In this paper, a model named Multi-Scale Fusion Convolutional...
The latest High Efficiency Video Coding (HEVC) standard significantly increases the encoding complexity for improving its coding efficiency, compared with the preceding H.264/Advanced Video Coding (AVC) standard. In this paper, we present a novel subjective-driven complexity control (SCC) approach to reduce and control the encoding complexity of HEVC. Through reasonably adjusting the maximum depth...
A robotic fish should be designed to swim with the obstacle avoidance capability in the real world. In this paper, a neuro-fuzzy control method is proposed for a multi-joint robotic fish using 3D printing technology. For this method, we can use the general infrared sensors to measure the existence of obstacles and the distance from the robotic fish to the obstacles. With the inference and learning...
In this work, it is the first time that a biologically real neural circuitry is used to model the chemotaxis behaviors of the nematode Caenorhabditis elegans (C. elegans), such as food attraction, toxin avoidance, or multi-tasks behaviors. The use of biological neural network becomes feasible because the structure and connectivity of the C. elegans' nerve system have been completely understood through...
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