<--- Back to Details
First PageDocument Content
Scale-invariant feature transform / SURF / GLOH / Object recognition / Corner detection / Interest point detection / Scale space / Feature / Hessian matrix / Computer vision / Image processing / Artificial intelligence
Date: 2006-10-26 11:16:50
Scale-invariant feature transform
SURF
GLOH
Object recognition
Corner detection
Interest point detection
Scale space
Feature
Hessian matrix
Computer vision
Image processing
Artificial intelligence

Paper1095.dvi

Add to Reading List

Source URL: www.vision.ee.ethz.ch

Download Document from Source Website

File Size: 706,42 KB

Share Document on Facebook

Similar Documents

Mathematical analysis / Mathematics / Calculus / Multivariable calculus / Differential calculus / Convex analysis / Mathematical optimization / Derivative / Lagrange multiplier / Quasiconvex function / Hessian matrix / Gradient

REVIEW SHEET FOR FINAL: ADVANCED MATH 195, SECTION 59 (VIPUL NAIK) To maximize efficiency, please bring a copy (print or readable electronic) of this review sheet to all review sessions. 1. Directional derivatives and gr

DocID: 1rrJ2 - View Document

Algebra / Mathematics / Matrices / Matrix theory / Mathematical physics / Eigenvalues and eigenvectors / Linear algebra / Singular value decomposition / Matrix / Symmetric matrix / Diagonalizable matrix

PHYSICAL REVIEW E 79, 041105 共2009兲 Localization-delocalization transition in Hessian matrices of topologically disordered systems B. J. Huang and Ten-Ming Wu* Institute of Physics, National Chiao-Tung University, H

DocID: 1reGI - View Document

Mathematical optimization / Mathematical analysis / Analysis / Mathematics / Trajectory optimization / Nonlinear programming / KarushKuhnTucker conditions / Automatic differentiation / Lagrange multiplier / BroydenFletcherGoldfarbShanno algorithm / Hessian matrix / Linear programming

Higher-Order Derivatives in Engineering Applications

DocID: 1r00C - View Document

Numerical analysis / Mathematical analysis / Mathematics / Estimation theory / Numerical linear algebra / M-estimators / Stochastic optimization / Conjugate gradient method / Nonlinear conjugate gradient method / Gradient descent / Gradient method / Hessian matrix

Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada

DocID: 1qzJK - View Document

Mathematical analysis / Calculus / Mathematics / Multivariable calculus / Smooth functions / Singularity theory / Differential calculus / Critical point / Hessian matrix / Morse theory / Derivative / Differentiable function

CHARACTERIZATION OF FUNCTIONS REPRESENTING TOPOGRAPHIC SURFACES Gert W. WOLF Department of Geography, University of Klagenfurt Universitaetsstrasse 65, A-9010 Klagenfurt, Austria

DocID: 1qxWJ - View Document