May anyone give me a quick guide on how to use Cimg to compute SVD for a 3-dimension array? I just want to get the decomposition of the array in order to compress it small for speeding up further proc
As an aside: Apologies if I\'m flooding SO with OpenCV questions :p I\'m currently trying to port over my old C code to use the new C++ interface and I\'ve got to the point where I\'m rebuilidng my E
I would like to solve the system of linear equations: Ax = b A is a n x m matrix (not square), b and x are both n x 1 vectors. Where A and b are known, n is from the order of 50-100and m is about
I try to link my c++ application against the \"Eigen 2.0.15\" library. Some details: My compiler is: gcc version 4.0.1 (Apple Inc. build 5493)
I use EmguCV library(openCV wrapper) on C# to implemented face detection and facial recognition using Eigenface algorithm
So, I\'m finding the Eigen package crashes when I try to declare a matrix larger than 10000x10000.I need to declare a matrix like this.. about 13000x13000 elements reliably.I ran a test like:
I\'ve looked around all over the web, but I can\'t find an answer to the following question. I have a C#/.NET NamedPipeClientStream instance in a client program, and a worker thread is calling NamedP
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