ESTIMATING RANGE FROM LUMINANCE

Estimating Expansion Rates from Range Data Sequences

We present a method to compute surface expansion rates from sequences of range data. Towards this end the 3D velocity field (range flow) is extracted first and then used in a second step to estimate the local area expansion. A detailed performance analysis is presented and the method is applied on two real examples.

Estimating Cloth Draping Parameters from Range Data

In this paper we present a computer vision algorithm for estimating cloth parameters for mod-eling. In an analysis-by-synthesis manner, the algorithm compares the drape of the model with the range data and searches for the best t. It can be applied to any physics-based cloth model. The motivating application is fashion design using CAD systems, but the ability of the algorithm to estimate the s...

Estimating illuminant color based on luminance balance of surfaces.

To accomplish color constancy the illuminant color needs to be discounted from the light reflected from surfaces. Some strategies for discounting the illuminant color use statistics of luminance and chromaticity distribution in natural scenes. In this study we showed whether color constancy exploits the potential cue that was provided by the luminance balance of differently colored surfaces. In...

Estimating fractal dimension from range images of natural terrain

We investigate two published approaches to the problem of estimating fractal dimension: the box-counting approach, and the fractal Brownian function approach. In experiments with synthetic images, we find the fractal Brownian function methods proposed by Pentland and Yokoya to be superior to the box-counting approaches described by Voss, because the former do not require data sampled at equal i...

Estimating Motion From Sparse Range Data Without Correspondence