The Harvard Robotics Laboratory
Profs. Roger Brockett, David Mumford, Woody Yang, and Alan Yuille.
The group consists of four Professors, four postdocs and twenty graduate
students. It works on topics in vision, robotics, VLSI design and neural
networks. The vision work includes object recognition, image segmenation,
and depth estimation. (See Web page for more details).
The Robotics Lab is based on rooms 311-313 in Cruft. Cruft is connected
to Pierce Hall, 29 Oxford Street.
To reach the robotics lab from MIT:
(I) Via subway . Take the Red line to Harvard Square. Enter
Harvard Yard and proceed through to the Science Center [a modern
building looking like an upside down polaroid camera] (about three
minutes walk). Walk through the Science Center and continue along the
pathway past the Music Building (on left) and a large white tank (on
the right). The first building you come to will be Jefferson and
continuing to the right will take you to Cruft (the next building will
be Pierce Hall).
(II) Via car . From the Cambridge Marriott, take Broadway west
right to the end. Then bear right onto Quincy Street. Turn left at the
traffic lights onto Kirkland, then right at Oxford Street (only
option). Cruft will be on your left a couple of hundred yards down.
Cruft is next to Pierce Hall (29 Oxford Street), a large red brick
building with a grass lawn.
Various posters and videos will be on display. In addition
there will be demonstrations on:
- Song Chun Zhu
- A FLEXIBLE OBJECT RECOGNITION SYSTEM for recognizing
animate objects from silhouettes.
- Face recognition under extreme lighting conditions
- Peter Hallinan
- This includes geometrical eigenwarps of
images and linear combination of eigenimages to model extreme
- Robust Medial Axis estimation
- Robert Ogniewicz
- This system uses Voronoi diagrams
and heat diffusion to robustly compute the medial axes of complex
shapes. Code is available.
- Region Competition
- Song Chun Zhu
- A fast general purpose algorithm for region segmentation.
- Tactile recognition using a CCD camera inside the figure
which images the inside of the fingertip
- Nicola Ferrier
- The fingertip is constructed
of rubber membrane and has an pattern on it which is deformed by contact
with an object. These deformations are sensed by the camera and the
shape of the object can be estimated.
- A real time face recognition system with a VLSI implementation
- Woody Yang