Hand posture recognition technology makes humancomputer interaction more natural and efficient. Existing hand posture recognition algorithms are mainly based on RGB images or depth data, each of which has its limitations: the former is susceptible to the interference of lighting and background color, while the latter is difficult to capture details and affects accuracy. To … [Read more...] about Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras
Image analysis
Toward Holistic Scene Understanding
The long-term vision for robotics is to have fully autonomous mobile robots that perceive the environment as humans do or even better. This article transfers the core ideas from human scene perception onto robot scene perception to contribute toward a holistic scene understanding of robots. The first contribution is to extensively survey and compare state-of-the-art robot scene … [Read more...] about Toward Holistic Scene Understanding
