深度相机在计算机视觉与图形学上的应用研究_英文_向学勤

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深度相机在计算机视觉与图形学上的应用研究_英文_向学勤

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Depth cameras have revolutionized computer vision and graphics by providing real-time depth information alongside traditional 2D imagery. These specialized sensors enable precise 3D scene understanding through technologies like time-of-flight (ToF), structured light, or stereo vision.

In computer vision, depth data significantly improves object recognition, segmentation, and tracking by adding crucial spatial context. Applications range from advanced driver assistance systems to industrial quality control, where understanding 3D geometry is essential.

The graphics field benefits through real-time 3D reconstruction, enabling immersive experiences in augmented/virtual reality and interactive installations. Depth cameras also simplify motion capture for animation and facilitate novel human-computer interaction paradigms like gesture control.

Current research focuses on overcoming limitations in resolution, accuracy under varying lighting conditions, and multi-sensor fusion techniques. Emerging applications include robotics navigation, medical imaging, and smart environment construction. The technology continues to evolve with miniaturization and improved algorithms for depth processing.