Ronen Basri
My field of research is computer vision, and I am focusing particularly on
the problems of object recognition, 3D shape reconstruction, and image
segmentation. Object recognition is difficult because the appearance of
objects may vary considerably in different images due to changes in viewing
position, illumination, non-rigid deformation of the objects, and partial
occlusion. A particular difficulty arises when we attempt to recognize a
novel object, e.g., a new type of a car, by comparing it to other instances
of its perceptual class, e.g., other kinds of cars. In my research I am
seeking to develop representations of objects and comparison algorithms that
enable a robust recovery of the identity of objects in spite of these
variations. In particular, I have developed methods for recognition and
shape reconstruction under complex illumination conditions. In addition, I
have developed a recognition method that identifies objects by matching
their volumetric parts to regions extracted from the image. Finally, object
recognition processes require a preprocessing stage of segmentation in which
objects are separated from their background. In recent years I have been
involved in developing novel, multiscale segmentation and edge detection
algorithms. I am currently investigating methods for using the hierarchical
image descriptions obtained using this segmentation algorithm to produce
improved recognition schemes.
Recent Publications
- [with D. W. Jacobs] Projective alignment with regions. IEEE Trans. on Pattern Analysis and Machine Intelligence 23(5) (2001) 519-527.
- [with D. W. Jacobs] Lambertian reflectance and linear subspaces. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(2) (2003) 218-233.
- [with E. Sharon, M. Galun, D. Sharon, and A. Brandt] Hierarchy and adaptivity in segmenting visual scenes. Nature 442(7104) (2006) 719-846.