"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

An experiment in coupled "reaction-diffusion systems" (actually, using a mexican hat convolution more akin to field models of neural activity in the cortex). There are two variables with sigmoidal transfer functions, and an adaptation variable that causes the pattern to shift.

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

This set works nicely as a slideshow.

Rendered in Matlab using isosurfaces.

Curated by Kuth/Ranieri (Byron Kuth, Elizabeth Ranieri, Juta Cinco, Eliza Koshland) and UTSOA (Sydney Mainster, Charlton Lewis, Travis Cook, Jen Wong, Rachel Bullock, Dan Zou, Lana Denkeler, Mehreen Charania, Eric Lam, James Spence).

Photographed by Selina Ortiz, School of Architecture Visual Resources Collection Photography TA

The Q-Bot, made in the engineering technology department of UWO to practice using remote sensing technology.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

This set works nicely as a slideshow.

Rendered in Matlab using isosurfaces.

Output from a simple life extension model described here. Blue curve is cohort life expectancy for children born that year, green is mean age of death that year, red curves denote the ability of medicine to slow ageing damage.

Curated by Kuth/Ranieri (Byron Kuth, Elizabeth Ranieri, Juta Cinco, Eliza Koshland) and UTSOA (Sydney Mainster, Charlton Lewis, Travis Cook, Jen Wong, Rachel Bullock, Dan Zou, Lana Denkeler, Mehreen Charania, Eric Lam, James Spence).

Photographed by Selina Ortiz, School of Architecture Visual Resources Collection Photography TA

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Final Year Projects, IEEE Projects, IEEE Projects Chennai, IEEE Projects 2011, IEEE Projects 2010, Embedded Projects, Embedded System Projects, Projects at Chennai, Projects in Chennai, Engineering College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, IEEE Projects, Projects in IEEE, Projects in INDIA, Final Year Projects in Tamil Nadu, Microcontroller Projects, VLSI Projects, MATLAB Projects, ATMEL Projects, DSP Projects, IEEE VLSI Projects, IEEE DSP Projects, IEEE Matlab Projects, IEEE Microcontroller Projects, IEEE Microcontrollers Projects, IEEE Embedded System Projects, IEEE 2011 2010 2009 Projects, IEEE on Embedded System, College Projects, Engineering Student Projects, Projects Chennai, Projects Tamil Nadu, Projects Coimbatore, Projects Madurai, Good Final Year Projects, Low Cost Final year Projects, Diploma Projects, Final Year Diploma Projects, Final Year Polytechnic Projects, ME Engineering Projects, MTech Projects, Real Time Projects, Embedded Microcontroller Kit Projects, Model Projects, IEEE Project Domains, Robotics Projects, MEMS Projects, Telecommunication Projects, Biomedical Projects, GPS Projects, GSM Projects, VLSI Projects, CPLD Projects, FPGA Projects, Blackfin DSP Projects, ADSP Projects, Power Electronics Projects, Power System Projects, Zigbee Projects, Electrical Projects, Communication Projects, RFID Projects, VOICE HM2007 Projects, RF Projects, Wireless Projects, Wireless Communication Projects, Finger Print Projects, IEEE Power Electronics Projects

Confocal image - blood cells - diffraction pattern

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

This set works nicely as a slideshow.

Rendered in Matlab using isosurfaces.

Curated by Kuth/Ranieri (Byron Kuth, Elizabeth Ranieri, Juta Cinco, Eliza Koshland) and UTSOA (Sydney Mainster, Charlton Lewis, Travis Cook, Jen Wong, Rachel Bullock, Dan Zou, Lana Denkeler, Mehreen Charania, Eric Lam, James Spence).

Photographed by Selina Ortiz, School of Architecture Visual Resources Collection Photography TA

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

This set works nicely as a slideshow.

Rendered in Matlab using isosurfaces.

An experiment in coupled "reaction-diffusion systems" (actually, using a mexican hat convolution more akin to field models of neural activity in the cortex). There are two variables with sigmoidal transfer functions, and an adaptation variable that causes the pattern to shift.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Output from a simple life extension model described here. Blue curve is cohort life expectancy for children born that year, green is mean age of death that year, red curves denote the ability of medicine to slow ageing damage.

Triangulation and image processing of an intensity scale face image

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

This set works nicely as a slideshow.

Rendered in Matlab using isosurfaces.

Locations of postcodes.

matlab-recognition-code.com/infrared-face-recognition-sys...

Abstract

Face recognition is a quickly rising analysis space on account of growing calls for for safety in business and regulation enforcement purposes. We have depeloped a quick and dependable face recognition methods based mostly on two-dimensional (2D) pictures within the infrared (IR) spectra. Face recognition methods based mostly on visible pictures have reached a big degree of maturity with some sensible success. However, the efficiency of visible face recognition might degrade beneath poor illumination circumstances or for topics of varied pores and skin colours. IR imagery represents a viable various to seen imaging within the seek for a strong and sensible identification system. While visible face recognition methods carry out comparatively reliably beneath managed illumination circumstances, thermal IR face recognition methods are advantageous when there isn’t a management over illumination or for detecting disguised faces. Face recognition utilizing 3D photographs is one other lively space of face recognition, which offers strong face recognition with modifications in pose. Recent analysis has additionally demonstrated that the fusion of various imaging modalities and spectral elements can enhance the general efficiency of face recognition.

Sparse illustration, also called compressed sensing, has been utilized just lately to picture-based mostly face recognition and demonstrated encouraging outcomes. Under this framework, every face is represented by a set of options, which sufficiently characterize every particular person. With the prior information that faces of the identical particular person are comparable to one another, a probe face could be thought-about as being properly approximated by linearly combining the okay reference faces of the identical particular person within the coaching set.

Code has been examined on Terravic Facial IR Database. The Terravic Facial Infrared database accommodates complete no. of 20 courses (19 males and M lady) of H-bit grey scale JPEG thermal faces. Size of the database is 298MB and pictures with totally different rotations are left, proper and frontal face pictures additionally obtainable with totally different gadgets like glass and hat.

Keyword: Matlab, supply, code, infrared, ir, thermogram, face, recognition, verification, matching, sparse, illustration.

Unlock Content

Click Here For Your Donation In Order To Obtain The Source Code

Curated by the Materials Lab

Photographed by June Jung, UT Austin School of Architecture Visual Resources Collection GRA

How much error do you make when you focus recompose?

Keep in mind:

1. Depth of Field can mask any error.

2. The horizontal angle of view of a standard lens (50mm on 24x36 format) is 40°

3. The maximum recompose angle is half of the lense's FOV.

4. It is unusual to recompose by more than a third of the lens's FOV.

5. to recompose by 40° you have to use a superwide lens (18mm on 24x36) and recompose from centre to edge.

This is the Matlab code. It is clumsy, but anyway:

close all

clear all

clc

recomposeanglevec=linspace(0,40,41);

focusdistancevec=linspace(1,10,10);

count1=0;

for x=recomposeanglevec

count1=count1+1;

recomposeangle=recomposeanglevec(count1);

count2=0;

for y=focusdistancevec

count2=count2+1;

focusdistance=focusdistancevec(count2);

focuserrormat(count1,count2)=focusdistance-focusdistance*cos(recomposeangle*pi/180);

focuserrorrelativemat(count1,count2)=focuserrormat(count1,count2)/focusdistance;

focusdistancemat(count1,count2)=focusdistance;

recomposeanglemat(count1,count2)=recomposeangle;

end

end

figure

mesh(focusdistancemat,recomposeanglemat,focuserrormat)

xlabel('focus distance [m]')

ylabel('recompose angle [°]')

zlabel('focus error [m]')

grid on

colorbar

figure

mesh(focusdistancemat,recomposeanglemat,100*focuserrorrelativemat)

xlabel('focus distance [m]')

ylabel('recompose angle [°]')

zlabel('relative focus error [0..100%]')

grid on

colorbar

figure

plot(recomposeanglemat(:,1),100*focuserrorrelativemat(:,1))

xlabel('recompose angle [°]')

ylabel('relative focus error [0..100%]')

grid on

تحميل ماتلاب Matlab البرنامج الرائد في التطبيقات الهندسية والرياضية www.zarkachat.com/matlab-wdownload/

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

We stood around and talked about SVM, wars, religion and other such things. Well they were talking, I was poking around looking for things to take pics of...

Nima's our mentor's assistant research type person but he helps us out with Matlab.

Curated by the UTSOA Materials Lab

Photographed by School of Architecture Visual Resources Collection Photography TA, Katie Slusher

generated in MATLAB

From a photo by Markie Roake. Generated by software I developed to convert photos into images composed of Lego bricks

Curated by Kuth/Ranieri (Byron Kuth, Elizabeth Ranieri, Juta Cinco, Eliza Koshland) and UTSOA (Sydney Mainster, Charlton Lewis, Travis Cook, Jen Wong, Rachel Bullock, Dan Zou, Lana Denkeler, Mehreen Charania, Eric Lam, James Spence).

Photographed by Selina Ortiz, School of Architecture Visual Resources Collection Photography TA

Curated by Kuth/Ranieri (Byron Kuth, Elizabeth Ranieri, Juta Cinco, Eliza Koshland) and UTSOA (Sydney Mainster, Charlton Lewis, Travis Cook, Jen Wong, Rachel Bullock, Dan Zou, Lana Denkeler, Mehreen Charania, Eric Lam, James Spence).

Photographed by Selina Ortiz, School of Architecture Visual Resources Collection Photography TA

Locations of earthquakes near the big 2011 March quake, colored by time (blue early, orange/red later).

A cluster of quakes seem to have prefigured the big one, which then led to subsequent quakes around the region.

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

This set works nicely as a slideshow.

Rendered in Matlab using isosurfaces.

Matlab Upazila, Chandpur District, Bangladesh.

Photo credit: Rob Hope/REACH

www.reachwater.org.uk

If you use one of our photos, please credit it accordingly and let us know. You can reach us via Flickr or at reach@water.ox.ac.uk

A brick factory worker stands beside a hanging latrine above a river in rural Matlab, Bangladesh. The use of such latrines contaminates waterways used for bathing and collecting drinking water with diarrhoeal diseases.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"