petercorke / machinevision-toolbox-matlab Goto Github PK

Hi,

When using the ICP function, a call is made to the closest function (which is a .mex file). However, I suppose for printing help purposes, there's the closest.m file with only comments. In Matlab R2018b, however, this file makes Matlab throw an error as it can be seen:

T = icp(SAT, sat_hat)
Attempt to execute SCRIPT closest as a function:
/Users/Maltergate/Library/Application Support/MathWorks/MATLAB Add-Ons/Toolboxes/Machine Vision
Toolbox for MATLAB/vision/closest.m

Error in icp (line 107)
        [corresp,distance] = closest(D, Mk);

I am using Matlab R2018b, on Mac (Catalina) and I use the toolbox version 4.2.1.

The labels should ideally be sequential starting at 1. We have the same problem in ilabel(), perhaps factor out that code and apply it to this problem. Maybe the new MATLAB Map container is the answer.

It seems there are no start up files in common.

When I try to run the live script from chapter 15, this part from the second section

P = mkgrid( 2, 0.5, 'pose', SE3(0,0,3) );

gives me the following error

`The class SE3 has no Constant property or Static method named 'check'. Error in mkgrid (line 72)

p=SE3.check(opt.pose)*p;`

Why is this happening and what is the solution.

Thanks

fairly broken

The function col2im is shadowed by the col2im function of image Toolbox from matlab.

Error occured if current directory is not the toolbox directory and official image toolbox is installed.

Hello, I was following along to the Robotics, Vision and Control Fundamental Algorithms in MATLAB second edition book, chapter 10.4.2 in shadow removal.

Using the command invariant(im, 0.7, 'noexp'); in MATLAB I get unrecognized function.
After looking into both MVTB and RTB I cannot find this function anywhere. I searched online as well but had no luck. I was hoping by posting here someone might be able to help me recover this function.

esttheta also does not show up in either toolbox

Thanks

merge rg_ticks functionality into colourspace, also do ticks for xy space
deprecate rg_ticks

Two bugfixes (I think) in istereo:

1. 108: variable was given as vshift instead of opt.vshift in 2 locations
2. 109 and 110: zero-indexing-related error produces inconsistent image sizes --> stereo_match doesn't work. My solution:

    if opt.vshift ~= 0
        if opt.vshift > 0
            L = L(1:end-opt.vshift+1,:);
            R = R(opt.vshift:end,:);
        else
            opt.vshift = -opt.vshift;
            L = L(opt.vshift:end,:);
            R = R(1:end-opt.vshift+1,:);
        end
    end

Is there any plan for porting this toolbox to Julia language?

thanks for your work,I am reading your book,and practice ,and I fellow your code in book,but I meet a error.When I use the function --CentralCamera in chap15,it told me error to use SE3.>> cam = CentralCamera('default');
Wrong use of SE3
The specified 'SO3' superclass contains a parse error, can not be found in MATLAB's search path, or is hidden by another file with the same name.
error Camera/set.T (line 717)
c.T = SE3(Tc);
error Camera (line 138)
c.T = eye(4,4);
error CentralCamera (line 169)
c = c@Camera(varargin{:});

could you help me solve this problem?thanks very much!

An error occurred when I called the function "homography" Can help me solve some of this problem, thank you!

Hi Mr Peter,

I'm having a problem when I'm trying to inverse the "colorname([0.2 0.3 0.4])".

I got an error such as the image below.

Can you please guide me on how to solve this problem?

Thank you.

When I try to run the live script from chapter 25, this part from the second section

pbvs.run(5);

gives me the following error

The class SE3 has no Constant property or Static method named 'check'.
Error in PBVS/init (line 110)
vs.camera.T = SE3.check(vs.T0); % set camera back to its initial pose
Error in VisualServo/run (line 122)
vs.init();

Why is this happening and what is the solution.

Thanks

Add more corner detectors, leverage OpenCV?

Alternatively, wrap CVST

eported by [email protected], Feb 2, 2014
What steps will reproduce the problem?

1. b1 = iread('building2-1.png','grey','double');
2. C1 = icorner(b1, 'nfeat', 200);
3. C2 = icorner(b1, 'nfeat', 200, 'suppress', 20);

What is the expected output? What do you see instead?
For the first call of "icorner" it should return the first 200 strongest corners.
For the second call it should return the first 200 strongest corners that do not overlap regarding a circle with the radius of 20 pixels. (the corner should be more dispersed in the output image).
But, both calls return exactly the same first 200 strongest corners.

What version of the product are you using? On what operating system?
Vision-3.3, Windows 8.1 x64, and Matlab R2012a

Please provide any additional information below.
Reviewing the "icorner" source code I found the problem:
line 280: d = sqrt( sum((features.v'-y).^2 + (features.u'-x).^2) );
This line compute the sum of the distances between current corner and the corners already saved on the solution. In this case "d" is a scalar.
But, we need to compute the individual distances between the current corner and each corner part of the solution. In this case "d" it will be an array. Regarding to the minimum value from "d", we can take a decision if we keep the corner or not.
Fix: d = sqrt((features.v'-y).^2 + (features.u'-x).^2);
Because of this modification, we need to do one more thing: add a new index to the loop. We already have one for parsing the list of corners (which in the current implementation is "i"), and we need one more for the output array.
We need to keep increasing "i" on each iteration, but "j" (the second index) only if we keep the current corner.(is part of the solution)
Attached to this report, is also the icorner.m modified file.

Best Regards,
Andrei

Reported by nibesh.mastran, Apr 19, 2013
What steps will reproduce the problem?

1. opening the census.m file.IT is not complete.

What is the expected output? What do you see instead?

What version of the product are you using? On what operating system?

Please provide any additional information below.

Need to have the 'label' flag otherwise it won't display

icorner with patch returns unit vector descriptors

PointFeature.match subtracts these, is this right.
Modify closest to do dot product, not just subtraction.

Do the Zisserman trick on descriptors.