NECI VISION WORKSHOP 1
FEB. 27 - MAR. 10, 1995
Organizer: John Oliensis
The NECI Vision Workshop brought together vision psychologists and computer vision researchers for a two week period to exchange ideas. The meeting was oriented toward discussion with a relaxed schedule of presentations. Foci of discussion included object recognition, recovery of structure and motion, subjective contours, perceptual inference, and low level vision.
Attendees
Bill Bialek (NECI), Heinrich Bulthoff (Max-Planck), Brian Burns (Teleos), Jacob Feldman (Rutgers), Ingemar Cox (NECI), David Forsyth (Berkeley), Jonas Garding (KTH, Sweden), Richard Hartley (GE), David Jacobs (NECI), Allan Jepson (U. of Toronto), Dan Kersten, (U. of Minnesota), David Knill (U. of Pennsylvania), Tony Lindeberg (KTH, Sweden), Mike Langer (McGill), Zili Liu (NECI), Larry Maloney (NYU), Steve Maybank (GEC/U. of Oxford), John Oliensis (NECI), Pietro Perona (Cal Tech), Jean Ponce (U. of Illinois), Harpreet Sawhney (IBM), Bob Shapley (NYU), Stefano Soatto (Cal Tech), Mike Tarr (Yale), Shimon Ullman (Weizmann), Bill Warren (Brown), Lance Williams (NECI), Alan Yuille (Harvard), Steve Zucker (McGill).LIST OF SPEAKERS/TITLES/ABSTRACTS
Steve Maybank,
Efficient methods for non-linear filtering
Linear methods for reconstruction from points and lines in multiple views
Scale selection for differential feature detectors
Object recognition and classification
Dominant and Multiple Motion Estimation for Video Representation
Recognition Using Region Correspondences
Dynamic Motion Estimation on the Essential Manifold: Practical Experiments and Unifying Framework
Human stereopsis, vertical disparity, and relief transformations
Early Vision, Complexity Analysis, and Perceptual Grouping
The role of shadows in visual perception
Multiple Views: Behavioral Evidence for a Theory of Human Object Recognition
View-based Object Recognition
Pressing problems in bottom up object recognition.
Appropriate-scale Local Centers: a Foundation for Parts-based Recognition
3D Curved Object Recognition from Image Contours
In Defense of Weak Fusion: Measurement and Modeling of Depth Cue Combination
Visual Control of Adaptive Behavior
Flexible Object Recognition and Modelling System
Brain Mechanisms for the perception of Illusory Contours
Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience
Illuminating Space
Perceiving surface orientation from texture: comparing human perception to ideal observers
Statistical mechanics problems in vision
Modal Structure and Perceptual Stories
Perceptual grouping as regularity-finding
Stimulus specific learning: a consequence of stimulus specific experiments?
A Quasilinear Solution to Multiframe Structure from Motion