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ACCV
2006
Springer
16 years 12 days ago
Inducing Semantic Segmentation from an Example
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
SIGGRAPH
1998
ACM
15 years 10 months ago
Rendering Synthetic Objects into Real Scenes: Bridging Traditional and Image-based Graphics with Global Illumination and High Dy
We present a method that uses measured scene radiance and global illumination in order to add new objects to light-based models with correct lighting. The method uses a high dynam...
Paul E. Debevec
CVPR
2004
IEEE
16 years 8 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
ICPR
2000
IEEE
16 years 7 months ago
A Concurrent Region Growing Algorithm Guided by Circumscribed Contours
Image segmentation of natural scenes constitutes a major problem in Machine Vision. This paper presents a new proposal for the image segmentation problem which has been based on t...
Xavier Cufí, Xavier Muñoz, Jordi Fre...
ACCV
2010
Springer
15 years 1 months ago
Estimating Meteorological Visibility Using Cameras: A Probabilistic Model-Driven Approach
Estimating the atmospheric or meteorological visibility distance is very important for air and ground transport safety, as well as for air quality. However, there is no holistic ap...
Nicolas Hautière, Raouf Babari, Eric Dumont...