AI

Learn why a standard 2D image throws away distance information by design, and how modern computer vision systems recover it using stereo cameras, dedicated sensors like LiDAR, and deep learning models that infer depth from a single frame. This is part 4, the capstone, of the Computer Vision Deep Dive track, building on the detection, segmentation, and transformer foundations from the first three courses to show how machines build a working 3D understanding of the world. Best suited for learners who want to understand how robots, AR apps, and self-driving cars judge distance, not just identify objects.

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