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» SVD-matching using SIFT features
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CVPR
2007
IEEE
14 years 9 months ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
ICANN
2011
Springer
12 years 11 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
CVIU
2008
192views more  CVIU 2008»
13 years 7 months ago
Content based video matching using spatiotemporal volumes
This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...
Arslan Basharat, Yun Zhai, Mubarak Shah
IROS
2006
IEEE
164views Robotics» more  IROS 2006»
14 years 1 months ago
SLAM using Visual Scan-Matching with Distinguishable 3D Points
— Scan-matching based on data from a laser scanner is frequently used for mapping and localization. This paper presents an scan-matching approach based instead on visual informat...
Federico Bertolli, Patric Jensfelt, Henrik I. Chri...
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels