Ko Nishino, Ph.D.
Department of Computer Science
College of Engineering
- Our new paper on material recognition!
- Visual Material Traits: Recognizing Per-Pixel Material
G. Schwartz and K. Nishino,
in Proc. of Color and Photometry in Computer Vision (Workshop held
in conjunction with ICCV'13), Dec., 2013. [ Paper PDF ] [ Slides PDF ]
- tpg released. Two-Point Gait is an
easy-to-compute, body shape-robust image-based representation of
human gait. The representation works by modeling the two-point
statistics of optical flow fields to primarily encode the relative
motion pattern of limbs in a gait cycle. Two-Point Gait provides a
faithful representation of the pure gait of a person rather than
entangling body shape and gait together.
- defog released. This is a
software package for defogging an image: factorizing a single foggy
image into scene albedo and depth. It implements our Bayesian
defogging method that leverages strong scene-specific priors on both the
albedo and depth. This implementation uses non-linear optimization
in lieu of graph cuts and achieves signifcant speed up.
- rani released. This is a
software package for estimating surface
reflectance and the (natural) environmental illumination from a single
input image of objects with known geometry. It also contains a suite of
programs to analyze and synthesize object appearance using the
Directional Statistics BRDF (DSBRDF) model.
- Texture Database released. It
contains 20 different textures, each of which is imaged approximately
2,000 times under different light source directions, at multiple
distances, and with different in-plane and out-of-plane rotations.
- Objects under Natural Illumination
Database released. It contains 6 objects taken under 5 natural
illumination environments with calibrated ground-truth geometry and
illumination. [12/16/2014] The database has been updated. We
recommend that users download the new database (drexel_natgeom_2).
- Check out 3DGSS, a software
package for constructing a 3D geometric scale-space and detecting
scale-dependent/-invariant corners and descriptors from range images;
and for using the descriptors to register multiple range images.
[4/3/2012] A faster version that runs on Mac OSX and Windows released.
I am an Associate Professor of Computer Science at Drexel University. Prior to
joining Drexel in fall 2005, I was a postdoctoral research scientist
at Columbia University. I
received all my degrees from The
University of Tokyo: both BE and ME in Information and Communication
Engineering from the Department of Electrical and Electronical
Engineering in 1997 and 1999, respectively, and PhD in Computer Science from the
Department of Computer Science in 2002.
My research interests primarily lie in computer vision. In particular,
I strive to develop novel models and computational algorithms to
better extract, understand, and regenerate visual information from
photographs and videos. To this end, my main focus centers on
leveraging intrinsic structures of visual data -- the latent
structures that can be found in the geometry, radiometry, and motion
of real-world scenes that are not necessarily apparent to our naked
Department of Computer Science
3141 Chestnut Street,
Philadelphia, PA 19104
Office: University Crossings 100G
Tel: (215) 895-2678
Fax: (215) 895-0545
Prospective students: I am looking for a few PhD
students to start in Fall 2014. If you are interested in studying
towards a PhD degree under my guidance, please just go ahead and submit
your application through the official channel (see this page).
If you are interested in working with me, please state so in your
essay/statement and explain your motivation, credentials, plan, etc.
There is no need to contact me and unfortunately I will not have the
time to respond to individual inquiries.
Louis Kratz (PhD CS,
June 2012, Curalate)
Prabin Bariya (MS CS, June 2011)
Ian Johnston (BS Math, June 2010, Boston University)
John Novatnack (MS CS, June 2008, Google)