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CVPR
2012
IEEE
7 years 2 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
ICCV
2011
IEEE
7 years 12 months ago
Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes
We present a method for detecting 3D objects using multi-modalities. While it is generic, we demonstrate it on the combination of an image and a dense depth map which give complem...
Stefan Hinterstoisser, Stefan Holzer, Cedric Cagni...
PAMI
2010
202views more  PAMI 2010»
8 years 10 months ago
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
—In this paper, we introduce a local image descriptor, DAISY, which is very efficient to compute densely. We also present an EM-based algorithm to compute dense depth and occlusi...
Engin Tola, Vincent Lepetit, Pascal Fua
PRESENCE
2002
129views more  PRESENCE 2002»
8 years 11 months ago
Share-Z: Client/Server Depth Sensing for See-Through Head-Mounted Displays
In mixed reality, occlusions and shadows are important to realize a natural fusion between the real and virtual worlds. In order to achieve this, it is necessary to acquire dense ...
Yuichi Ohta, Yasuyuki Sugaya, Hiroki Igarashi, Tos...
ECCV
2010
Springer
9 years 1 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
CVPR
1999
IEEE
10 years 1 months ago
A Multi-View Approach to Motion and Stereo
This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, w...
Richard Szeliski
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