IV - Image Features (Texture)

11 novembro 2019, 15:30 • José Santos-Victor

Texture and texture representations. Co-ocurrence matrices.
Distances between texture descriptors. Gradient histograms (intensity, orientation).
Filter based representations. Gabor filters.

Preparation for project work

8 novembro 2019, 15:30 • José Santos-Victor

Discussion and guidelines for the development of the project

Background estimation

7 novembro 2019, 14:00 • João Paulo Salgado Arriscado Costeira

Given a sequence taken from a static camera, how to compute the background image using the median (explained in class). Check with twocams_books dataset.

imgmed=zeros(480,640,45);

for i=1:45,

    load(['depth1_' int2str(i) '.mat']);

    imagesc(depth_array);

    imgmed(:,:,i)=double(depth_array)/1000;

    pause(.1)

    drawnow;

end

bg=median(imgmed,3);

d=dir('depth1*.mat');

for i=1:length(d),

    load(d(i).name);

    imagesc(abs(double(depth_array)/1000-bg)>.25);

    colormap(gray);

    pause(1);

end

Background estimation

7 novembro 2019, 11:00 • João Paulo Salgado Arriscado Costeira

Given a sequence taken from a static camera, how to compute the background image using the median (explained in class). Check with twocams_books dataset.

imgmed=zeros(480,640,45);

for i=1:45,

    load(['depth1_' int2str(i) '.mat']);

    imagesc(depth_array);

    imgmed(:,:,i)=double(depth_array)/1000;

    pause(.1)

    drawnow;

end

bg=median(imgmed,3);

d=dir('depth1*.mat');

for i=1:length(d),

    load(d(i).name);

    imagesc(abs(double(depth_array)/1000-bg)>.25);

    colormap(gray);

    pause(1);

end

Background estimation

7 novembro 2019, 08:00 • João Paulo Salgado Arriscado Costeira

Given a sequence taken from a static camera, how to compute the background image using the median (explained in class). Check with twocams_books dataset.

imgmed=zeros(480,640,45);

for i=1:45,

    load(['depth1_' int2str(i) '.mat']);

    imagesc(depth_array);

    imgmed(:,:,i)=double(depth_array)/1000;

    pause(.1)

    drawnow;

end

bg=median(imgmed,3);

d=dir('depth1*.mat');

for i=1:length(d),

    load(d(i).name);

    imagesc(abs(double(depth_array)/1000-bg)>.25);

    colormap(gray);

    pause(1);

end