This paper presents the feature-replenishment technique used by our 3D Feature Based Tracker (3DFBT). The 3DFBT is a distributed , agent-based system for real-time 3D visual motion tracking using stereo. Feature replenishment means that the system can nd new trackable features to replace those lost to noise and occlusion, and on new objects entering the scene, or revealed by dis-occlusion. This...

Object recognition in the presence of changing scale and orientation requires mechanisms to deal with the corresponding feature transformations. Using Gabor wavelets as example, we approach this problem in a correspondence-based setting. We present a mechanism for finding feature-to-feature matches between corresponding points in pairs of images taken at different scale and/or orientation (leav...

This paper addresses the on-going debate over the distinction between Agreement by Correspondence (Hansson 2001; Rose and Walker 2004; a.o.) and the previously dominant theory of autosegmental feature spreading, focusing on a key conceptual difference between the two theories: the role of similarity as the basis of harmony patterns. It is argued that Agreement by Correspondence’s unique ability...

For a few years, with the emergence of large image database such as Google Street View, designing efficient, scalable, robust and accurate strategies have now become a critical issue to process very large data, which are also massively contaminated by false positives and massively ambiguous. Indeed, this is of particular interest for property management and diagnosing the health of building faç...

Consider real reductive group G, as defined in [Wal88]. Let Π be an irreducible admissible representation of G with the distribution character ΘΠ, [Har51]. Denote by uΠ the lowest term in the asymptotic expansion of ΘΠ, [BV80]. This is a finite linear combination of Fourier transforms of nilpotent coadjoint orbits, uΠ = ∑ O cOμ̂O. As shown by Rossmann, [Ros95], the closure of the union of the ni...

hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

CORRESPONDENCE Comments on "A Minimization Technique for TANT Networks"......................... H. P. Lee and E. S. Davidson 407 Author's:Reply.K.S0 ...............................................................K S. Koh 408 Comments on "Feature Selection with a Linear Dependence Measure".............. G. T. Toussaint and T. R. Vilmansen 408 Author's Reply ........................................

We investigate the meaning of “statistical methods” for geometric inference based on image feature points. Tracing back the origin of feature uncertainty to image processing operations, we discuss the implications of asymptotic analysis in reference to “geometric fitting” and “geometric model selection”. We point out that a correspondence exists between the standard statistical analysis and the...

Abstract A method based on the contour coefficient and image processing technology is proposed to better identify visual elements. This article takes of as recognition feature, summarizes methods target feature extraction, shape representation, similarity studies edge preserving denoising, simplification description methods, matching methods. problem can usually be solved by filling out a form....