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Always worth looking at a point cloud versus a disparity map. Grayscale disparity/depth maps are somewhat misleading - the large regions of constant intensity
by joshvm 7y ago
Always worth looking at a point cloud versus a disparity map.
Grayscale disparity/depth maps are somewhat misleading - the large regions of constant intensity suggest that the algorithm is good at segmenting areas of constant depth. However, the flickering in the map suggests that if you actually tried to plot this in 3D, it'd be pretty noisy. Not to disparage the result, but 2D depth/disparity maps tend to look better than what they represent.
You can see this in the synthetic camera wiggle video, focus on the actor's hands, for example.
You can also see this effect in the Stereolabs Zed promo video.
- enriquto 7y agoto visualize depth maps it is best to look at derivatives of them (e.g., a directional derivative or the laplacian). Mapping the depths to indensities directly loses a lot of information.