869 research outputs found
Multi-Image Semantic Matching by Mining Consistent Features
This work proposes a multi-image matching method to estimate semantic
correspondences across multiple images. In contrast to the previous methods
that optimize all pairwise correspondences, the proposed method identifies and
matches only a sparse set of reliable features in the image collection. In this
way, the proposed method is able to prune nonrepeatable features and also
highly scalable to handle thousands of images. We additionally propose a
low-rank constraint to ensure the geometric consistency of feature
correspondences over the whole image collection. Besides the competitive
performance on multi-graph matching and semantic flow benchmarks, we also
demonstrate the applicability of the proposed method for reconstructing
object-class models and discovering object-class landmarks from images without
using any annotation.Comment: CVPR 201
Pure Component Adsorption of Methane, Ethylene, Propylene and Carbon Dioxide in Silicalite
Adsorption isotherms are measured for pure methane, ethylene, propylene and carbon dioxide in silicalite. Isotherm data are collected using a volumetric method at three different temperatures of 10C, 35C and 65C at pressure up to 100psi. The Virial equation and Langmuir equation have been applied to represent excess amount adsorbed in each pure component system. The binary adsorption equilibrium for various mixtures are predicted from the pure component adsorption data, using the Ideal Adsorption Solution Theory (IAST
Uncertainty assessment of urban pluvial flood risk in a context of climate change adaptation decision making
Uncertainty assessment of climate change adaptation using an economic pluvial flood risk framework
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