MATERIAL CLASSIFICATION USING BRDF FEATURE VECTOR

摘要

Feature vector representations are computed for BRDF image slices in a database of known materials captured under a relatively large number of incident illumination directions. Low-level features of each image slice are clustered into at least two clusters. An intermediate feature vector representation is computed for each image slice with entries that are weighted means of the clusters.

主权项

1. A method for computing feature vector representations for BRDF image slices in a database of known materials captured under a relatively large number of incident illumination directions, the method comprising:
clustering low-level features of each image slice, the low-level features of each image slice being clustered into at least two clusters; and computing an intermediate feature vector representation for each image slice with entries that are weighted means of the clusters.