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b Final recovered scene radiance.

Fig. 8 Result of recovered scene radiance.

The final scene radiance J x) is recovered by J x)=frac{I(X -A}{max(t(X -A}{max}+A (18). Figure 8b shows the final recovered scene radiance by our method.

However, we notice that, in Eq. (4), when the transmission t(x) is close to zero, the term (frac {I x -A}{t(x)}) would be a very large value, and the dI x -A}{tecovered scene radiance J would be noised.

We further compare these recovered scenes with the ones obtained with a Chirp transmission, in Figure 14a, b.

The second quarter at Berkeley will cover inverse rendering (recovering scene parameters from images) and perception of shape and shading.

In particular, we develop a novel temporal defocus method to recover scene depth at each image pixel using its intensity variation over time.

Recovering scene properties (e.g., scene depths) from the received radiance requires separating these contributions, which is challenging due to the complexity of global illumination and the additional temporal dimension of the radiance.

This dissertation examines two aspects of this problem: models of visual appearance that allow us to recover scene properties from images and videos, and tools that allow users to manipulate visual appearance in images and videos in intuitive ways.

Recovering scene geometry and camera motion from sequences of 2D monocular images has seen significant success for the 3D geometry of static objects.

The sensors are noisy, the prior knowledge is uncertain or inaccurate, and the problems of recovering scene information from images are often ill-posed or underconstrained.