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» Realistic Depth Blur for Images with Range Data
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SIP
2003
13 years 8 months ago
Robust Range Data Segmentation using Geometric Primitives for Robotic Applications
This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to perform interactive domestic tasks. Range data is segmented into geometric primi...
Geoffrey Taylor, Lindsay Kleeman
ICCV
2011
IEEE
12 years 7 months ago
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
In recent years, depth cameras have become a widely available sensor type that captures depth images at realtime frame rates. Even though recent approaches have shown that 3D pose...
Andreas Baak, Meinard Muller, Gaurav Bharaj, Hans-...
ICASSP
2007
IEEE
14 years 1 months ago
All-Clear Image Based Synthesis using Clarity Degree
Image based rendering (IBR) usually produces severe artifacts, typically blur and ghost, for objects not located on the focal plane. To obtain an all clear result, previous works ...
Xun Cao, Su Xue, Qionghai Dai
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
14 years 1 months ago
DIBR-Based 3D Videos using Non Video Rate Range Image Stream
The fundamental assumption of 3D videos using depth-imagebased rendering is the full availability of range images at video rate. In this work we alleviate this hard demand and ass...
Xiaoyi Jiang, Martin Lambers
CVPR
2008
IEEE
14 years 9 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán