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FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
15 years 8 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
NIPS
2004
15 years 5 months ago
Result Analysis of the NIPS 2003 Feature Selection Challenge
The NIPS 2003 workshops included a feature selection competition organized by the authors. We provided participants with five datasets from different application domains and calle...
Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon...
CVPR
2003
IEEE
16 years 6 months ago
Fusing Online and Offline Information for Stable 3D Tracking in Real-Time
We propose an efficient online real-time solution for singlecamera 3?D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial oc...
Luca Vacchetti, Vincent Lepetit, Pascal Fua
I3E
2001
123views Business» more  I3E 2001»
15 years 5 months ago
Feature-Oriented vs. Needs-Oriented Product Access for Non-Expert-Online Shoppers
: Most online shops today organise their product catalogue in a feature-oriented way. This can cause problems for shoppers who have only limited knowledge of product features. An a...
Daniel Felix, Christoph Niederberger, Patrick Stei...
CVPR
2003
IEEE
16 years 6 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins