Saturday, August 11, 2007

Computer Vision (32): Monocular Cues

Under this topic, focus was the only one I wanted to drag a lot since it is very much required for my techniques on depth perception. I will mention a few other cues here that are even though very obvious to anyone, are required for the completeness of the topic. Monocular cues are better understood from photographs, so here’s one to explain all the three I will be mentioning:

Taking any one of the cars in this picture as reference we can very easily guess the relative position of the others in the image. This cue is called “Familiar size”. It works not only for similar objects but anything around you. Where this cue takes a beating sometimes there is another that drops in to resolve this issue; “Interposition”. On the left we have a red and a silver car projecting the same size even though both are not at the same depth. How do I know? My brain tells me that some portion of the red car is occluded by the silver one which means that the latter should be in front of it.

Bringing in the rest of the image you can see that the road in the above figure appears to get narrower farther it is considered from the camera. Taking this cue as reference you can almost separate the different regions in this image into their depth categories. The small hilly region on the right is farther away from the lake on the left. The fountain is definitely closer to the camera than the lake, etc. This is called “Linear Perspective”; the convergence of parallel lines as they move away from you.
All these cues supplemented with our knowledge will always give us if not accurate a misty information about depth even in a 2D scenario.

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