[Colloquium] Talks at TTIC: Michael Maire, California Institute of Technology

[Dawn Ellis]

When:      Thursday, March 13th at 11am

Where:     TTIC, 6045 S Kenwood Avenue, 5th Floor, Room #526

Speaker:   Michael Maire, California Institute of Technology

Title:        Constrained Spectral Embedding Approaches to Segmentation and
Object
               Detection

Abstract:

I present a framework in which image segmentation, figure/ground
organization, and object detection all appear as the result of solving a
single spectral embedding problem.  This framework serves as a perceptual
organization stage that integrates information from low-level image cues
with that of high-level part detectors.  Pixels and parts each appear as
nodes in a graph whose edges encode both affinity and ordering
relationships.  Solving a generalized eigenproblem derived from this graph
allows one to read off an interpretation of the image from the solution
eigenvectors.  Combining an off-the-shelf top-down part-based person
detector with low-level cues within this grouping formulation, yields
improvements to object detection and segmentation.

I will also discuss complementary work on mitigating the traditionally
high computational requirements of spectral methods through development of
a custom eigensolver for spectral clustering problems in which subgraphs
at multiple scales are linked by constraints.  Multiscale Normalized Cuts
image segmentation is an example of particular practical importance, on
which this work demonstrates typical speedups of more than an order of
magnitude.  This speedup is at the algorithmic level and relies on a
progressive multigrid computation strategy molded by the cross-scale
constraints.

Host:  Greg Shakhnarovich, greg at ttic.edu

-- 
*Dawn Ellis*
Administrative Coordinator,
Bookkeeper
773-834-1757
dellis at ttic.edu

TTIC
6045 S. Kenwood Ave.
Chicago, IL. 60637
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