in office

 Ko Nishino, Ph.D.

  Associate Professor
  Department of Computer Science
  College of Computing and Informatics
  Drexel University


  • You can download VisualEyes, a software that allows you to compute a spherical panorama of the world surrounding a person and an image of exactly what the person is seeing from an eye in an image, from here. It has been more than ten years since I worked on this, so I won't be able to provide any support.
  • We released a new version of our 3DGSS software which fixes some compile time errors. Please try this version if you had problems using previous versions.
  • A talk I gave this summer that summerizes our research towards material recognition.

    Material Recognition from Images (Invited Talk at Shitsukan Symposium 2014)

  • Our new paper and data set on shape and reflectance recovery in the wild!
    • Multiview Shape and Reflectance from Natural Illumination
      G. Oxholm and K. Nishino,
      in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition CVPR'14, Jun., 2014 [ PDF ]
    • Multiview Object under Natural Illumination Database released. The database contains images of four objects taken under natural illumination environments with calibrated ground-truth geometry and illumination. Each dataset contains the necessary intrinsic and extrinsic data to align the image data with the coordinate frame of the ground-truth meshes.
  • Our paper on material recognition!
    • Visual Material Traits: Recognizing Per-Pixel Material Context
      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 eyes.

Curriculum Vitæ


Department of Computer Science
Drexel University
3141 Chestnut Street,
Philadelphia, PA 19104

Office: University Crossings 100G
Tel: (215) 895-2678
Fax: (215) 895-0545

Group Members

Prospective students: I am looking for Drexel MS student(s) to work on some exciting projects. Please contact me, if you think you qualify.

I am looking for a few PhD students to start in Fall 2015. 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.

PhD Students Steve Lombardi
Gabe Schwartz
Leizer Teran
Past Students Geoff Oxholm (PhD CS, June 2014, Adobe Research)
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)