Rank: 538 based on 128 downloads (last 30 days) and 1 file submitted

Adam Chapman

E-mail: Contact Author

Personal Profile:
Professional Interests:: image processing, c-mex, aerospace, UAVs

Watch this Author's files

Files
Watch Lists

Files Posted by Adam					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
28 Jan 2008		SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	scale invariant featu..., sift, geometric transformat..., image recogntition, image registration	128	9	3.75 3.8 \| 4 ratings

Comments and Ratings by Adam		View all 1 - 2 of 2
Updated	File	Comments	Rating
11 Feb 2009	Random Element Returns elements randomly selected from any matrix. Author: Skynet	Nice and simple, does the job perfectly. Thanks!
23 Jan 2009	Fast interpolation Performs nearest-neighbor or linear interpolation much faster than interp1 when an evenly-spaced lib Author: Nathaniel Brahms	Brilliant job, well done. Works even better with Greg Palmer's suggestion. Thanks

Comments and Ratings on Adam's Files			View all 1 - 5 of 9
Updated	File	Comment by	Comments	Rating
09 May 2011	SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	The	thanks
05 Jul 2010	SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	Jung, Sunghun	Could someone comment me why the program closes down?
16 Feb 2010	SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	IMRAN	Please tell meprecisely (ia1c09@soton.ac.uk) the file siftdemo.m gives error and program closes down. i used instructions as mentioned in tutorile file even then it gives error. Plz somebody help me.
18 Oct 2008	SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	WU, Si	Thank you very much
16 Aug 2008	SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	Liu, Tianliang	Thanks a lot!

Top Tags Applied by Adam	1 - 5 of 15
corpus, geometric transformation, image recogntition, image registration, scale invariant feature transfrom

Files Tagged by Adam					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
28 Jan 2008		SiftGPU- SIFT enabled on GPU implementation of SIFT compiled on graphics card Author: Adam Chapman	scale invariant featu..., sift, geometric transformat..., image recogntition, image registration	128	9	3.75 3.8 \| 4 ratings

Currently Watching
Type	Description
Author	vgood
File	Staker v0.6
File	Multiple matrix multiplications, with array expansion enabled
File	Fast interpolation

Files Matching Adam's Watch List					View all 1 - 3 of 3
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
26 Jul 2010		Multiple matrix multiplications, with array expansion enabled Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled. Author: Paolo de Leva	arraylab, singleton expansion, vector, scalar, product, multiplication	80	25	4.96552 5.0 \| 31 ratings
22 Dec 2008		Staker v0.6 Staker is a 3-D artillery game inspired by Tank Wars and Scorched Earth. Author: Kenneth Eaton	3d, games, scorched earth, tank wars, game, projectile motion	32	14	5.0 5.0 \| 7 ratings
18 Apr 2006		Fast interpolation Performs nearest-neighbor or linear interpolation much faster than interp1 when an evenly-spaced lib Author: Nathaniel Brahms	fast, approximation, interpolation, quick, mathematics	24	5	4.6 4.6 \| 6 ratings

Comments and Ratings Matching Adam's Watch List			1-5 of 56
Date	File	Comment by	Comments	Rating
03 Feb 2012	Multiple matrix multiplications, with array expansion enabled Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled.	Paolo de Leva	Shatrughan, I do not know outerm and PLS, and I cannot completely understand your request, but I can try and explain what you can do with my functions. Allow me to start with the simplest case: A = rand(7,1); B = rand(9,1); X = outer(A, B); Here, X is a matrix, and its size is 7x9. It would make sense to write a function to generalize this to 3-D: A = rand(7,1); B = rand(9,1); C = rand(10,1); X = simple_outer3D(A, B, C); where X is a 3-D array and its size is 7x9x10, which is the size of your expected result. This can be done using this code (where BAXFUN is a function that I posted on MATLAB Central File Exchange; File ID: #23084): function X = simple_outer3D(A, B, C) % A, B, and C must be column vectors X = baxfun(@times, A, B, 0, 1); % Size: 7x9 X = baxfun(@times, X, C, 0, 2); % Size: 7x9x10 Warning: this code is completely valid as a generalization of an outer product only if A, B, and C do not contain complex numbers. See the help of function OUTER for details. Notice that I got the result you expected, but the input matrices have not the same size as in your example. Conversely, input matrices with the same size as in your example would give a different result. Simple case: A = rand(7,2); B = rand(9,2); X = outer(A, B); Here, A and B are not two vectors, but two “arrays of vectors” (each containing two vectors). Hence, X is not a single outer product, but a 7x9x2 array containing two outer products. The first outer product is X(:,:,1) and the second is X(:,:,2). If we generalize to 3-D, we have: A = rand(7,2); B = rand(9,2); C = rand(10,2); X = outer3D(A, B, C); In this case, X is supposed to contain two 3-D arrays. Hence, its size should be 7x9x10x2 (rather than 7x9x10). This can be done by defining outer3D as follows: function X = outer3D(A, B, C) A = reshape(A, [size(A,1),1,1,size(A,2)]); % Size: 7x1x1x2 B = reshape(B, [1,size(B,1),1,size(B,2)]); % Size: 1x9x1x2 C = reshape(C, [1,1,size(C)]); % Size: 1x1x10x2 X = baxfun(@times, A, B); % Size: 7x9x1x2 X = baxfun(@times, X, C); % Size: 7x9x10x2 Warning: this code is completely valid as a generalization of an outer product only if A, B, and C do not contain complex numbers. See the help of function OUTER for details. Note: In this code, BAXFUN (binary array expansion) is equivalent to BSXFUN (binary singleton expansion).	Comment only
03 Feb 2012	Multiple matrix multiplications, with array expansion enabled Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled.	Michael Völker	Shatrughan, what is the code you would write without having multiprod()? As far as I can see, multiprod() accepts 2 input arrays while you want to do something with 3 arrays. multiprod() does nothing which you cannot do with regular code, it just does it more elegantly and faster. So, please write down an example code which you expect to get "beautified" or accelerated with the help of multiprod().	Comment only
27 Jan 2012	Multiple matrix multiplications, with array expansion enabled Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled.	Shatrughan	Hey Paolo, Very interesting toolbox, appreciate your hard work towards its development...however, I could not implement it on my need may be I am not applying it correctly, your help is needed.. I have three matices (say, a=7x2; b=9x2; c=10x2) Output I want, X=7x9x10; (similar as you can get in outerm using PLS but I do not have access to the same); I tried using using outer script in your Vector toolbox also, but to no avail..Any help will be much appreciated Thanks.!	5
22 Jun 2011	Multiple matrix multiplications, with array expansion enabled Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled.	Chris	This is great -- it has been a tremendous improvement for my project.	5
09 Jun 2011	Multiple matrix multiplications, with array expansion enabled Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled.	Nicolas		5

Contact us at files@mathworks.com