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IEICET
2006
55views more  IEICET 2006»
13 years 10 months ago
Inserting Points Uniformly at Every Instance
A problem of arranging n points as uniformly as possible, which is equivalent to that of packing n equal and non-overlapping circles in a unit square, is frequently asked. In this ...
Sachio Teramoto, Tetsuo Asano, Naoki Katoh, Benjam...
IPM
2006
107views more  IPM 2006»
13 years 10 months ago
Best entry points for structured document retrieval - Part II: Types, usage and effectiveness
Structured document retrieval makes use of document components as the basis of the retrieval process, rather than complete documents. The inherent relationships between these comp...
Jane Reid, Mounia Lalmas, Karen Finesilver, Morten...
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
ICIP
1998
IEEE
15 years 8 days ago
Adaptive Search Center Non-Linear Three Step Search
This paper presents a new motion estimation algorithm using an adaptive search center predicted from its adjacent blocks, and a non-linear center biased search point pattern. It d...
Hing Y. Chung, Paul Y. S. Cheung, N. H. C. Yung
ICIP
2009
IEEE
14 years 11 months ago
Lidar Waveform Modeling Using A Marked Point Process
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate...