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» On the Recovery of Depth from a Single Defocused Image
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AMDO
2000
Springer
13 years 12 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno
IJCV
2007
178views more  IJCV 2007»
13 years 7 months ago
Stereo for Image-Based Rendering using Image Over-Segmentation
In this paper, we propose a stereo method specifically designed for image-based rendering. For effective image-based rendering, the interpolated views need only be visually plaus...
C. Lawrence Zitnick, Sing Bing Kang
ECCV
2008
Springer
14 years 9 months ago
Projected Texture for Object Classification
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly t...
Avinash Sharma, Anoop M. Namboodiri
CVPR
2009
IEEE
15 years 2 months ago
Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor
We present a new approach to iteratively estimate both high-quality depth map and alpha matte from a single image or a video sequence. Scene depth, which is invariant to illumin...
Jiejie Zhu (University of Kentucky), Miao Liao (Un...
CAIP
1993
Springer
178views Image Analysis» more  CAIP 1993»
13 years 11 months ago
Robust Recovery of Ego-Motion
A robust method is introduced for computing the camera motion (the ego-motion) in a static scene. The method is based on detecting a single planar surface in the scene directly fro...
Michal Irani, Benny Rousso, Shmuel Peleg