Kyle

About

Kyle completed his Ph.D. in August 2013 and now works for a startup in the SF Bay Area. His research with Prof. Leonidas Guibas at Stanford focused on wireless camera sensor networks and data-mining in large-scale image collections. Kyle holds an M.S. and Ph.D. degree in Electrical Engineering from Stanford and a B.S. degree in Computer Engineering from Rose-Hulman Institute of Technology.
contact: heathkh@alumni.stanford.edu | linkedin

Image Web

Projects.

3D Scanning Computer Vision Camera Networks Cloud Computing Tools for Software Development

Research.

Thesis

Image webs : discovering and using object-manifold structure in large-scale image collections

Papers

K. Heath, N. Gelfand, M. Ovsjanikov, M. Aanjaneya, L. J. Guibas Image Webs: Computing and Exploiting Connectivity in Image Collections Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010).
  

Kyle Heath and Leonidas J. Guibas. Multi-Person Tracking from Sparse 3D Trajectories in a Camera Sensor Network. Proc. IEEE Int. Conf. on Distributed Smart Cameras, 2008.
  

K. Heath, L. Guibas FaceNet: Tracking People and Acquiring Canonical Face Images in a Wireless Camera Sensor Network First ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-07).
  

Selected Talks

  • Image Webs: Discovering and using object-manifold structure in large-scale image collections
    Nov 2013, INRIA Saclay | slides
  • Multi-Person Tracking from Sparse 3D Trajectories in a Camera Sensor Network
    Sep 8 2008, Stanford | slides

Patents

Patents.

Granted
  • US 9311530B1 | Summarizing a photo album in a social network system
  • US 10398316B1 | Method and apparatus for determining physiological characteristics of experimental animals based upon infrared and visible light images
  • US 10292369B1 | Non-contact detection of physiological characteristics of experimental animals
  • US 9734373B1 | Method of reading animal marks
  • US 10455808B1 | Animal marking machine
  • US 10416084B1 | Method of analyzing animal urine
  • US 9578853B1 | Coding for animal ID marking
  • US 10274433B1 | Device and method of measuring animal health
  • US 10114994B2 | Code for animal ID marking
  • US 10108828B2 | Method of generating codes for animal marking
Pending