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» Learning to Estimate Scenes from Images
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ICML
2009
IEEE
14 years 8 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Youngmin Cho, Lawrence K. Saul
VR
2003
IEEE
211views Virtual Reality» more  VR 2003»
14 years 1 months ago
Editing Real World Scenes: Augmented Reality with Image-based Rendering
We present a method that using only an uncalibrated camera allows the capture of object geometry and appearance, and then at a later stage registration and AR overlay into a new s...
Dana Cobzas, Martin Jägersand, Keith Yerex
CVPR
1996
IEEE
14 years 9 months ago
Minimal operator set for passive depth from defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. We propose a class of broadband operators that, when used together, provide inva...
Masahiro Watanabe, Shree K. Nayar
TOG
2002
208views more  TOG 2002»
13 years 7 months ago
Video matting of complex scenes
This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon technique...
Yung-Yu Chuang, Aseem Agarwala, Brian Curless, Dav...
ECCV
2002
Springer
14 years 9 months ago
What Can Be Known about the Radiometric Response from Images?
Abstract. Brightness values of pixels in an image are related to image irradiance by a non-linear function, called the radiometric response function. Recovery of this function is i...
Michael D. Grossberg, Shree K. Nayar