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AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
BMVC
2010
13 years 5 months ago
A 2D+t Feature-preserving Non-local Means Filter for Image Denoising and Improved Detection of Small and Weak Particles
A feature-preserving non-local means (FP-NLM) filter has been developed recently for denoising images containing small and weak particlelike objects. It explores the commonly used...
Lei Yang, Richard Parton, Graeme Ball, Zhen Qiu, A...
MM
1993
ACM
107views Multimedia» more  MM 1993»
13 years 11 months ago
What Video Can and Can't Do for Collaboration: A Case Study
As multimedia becomes an integral part of collaborative systems, we must understand how to design such systems to support users’ rich set of existing interaction skills, rather ...
Ellen Isaacs, John C. Tang
ICPR
2008
IEEE
14 years 8 months ago
Improved novel view synthesis from depth image with large baseline
In this paper, a new algorithm is developed for recovering the large disocclusion regions in depth image based rendering (DIBR) systems on 3DTV. For the DIBR systems, undesirable ...
Chia-Ming Cheng, Jinn-Cherng Yang, Shang-Hong Lai,...
ACCV
2007
Springer
14 years 1 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen