he goal of computer vision is an automatic extraction of information out of images. It includes methods for acquiring, processing, analysing, and understanding images and high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. ...

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61 views

Explanation of LidarBoost Algorithm?

I am trying to understand the LidarBoost algorithm as explained in this paper (PDF warning). My apologies if this isn't the appropriate exchange; I've posted in DSP, but I didn't get a response there, ...
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0answers
35 views

Pixel-To-Angle Transformation in Camera Image

I'm trying to localize points I see in a camera image in terms of azimuth and elevation and match points between shots. Individual shots should differ only in rotation around the camera's center ...
3
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1answer
107 views

How do you formulate the linear least-squares method for radiometric calibration?

In Debevec and Malik (mentioned similarly in Forsyth and Ponce's Computer Vision: A Modern Approach) they highlight a method of solving the camera response function using linear least-squares. We ...
3
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1answer
308 views

Shearing and Hartley's rectification

I'm using Richard Hartley's rectification algorithm to rectify a pair of images before performing stereo disparity computation. The problem is I'm observing shearing in one of the rectified images and ...
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60 views

PRE-Requisites for Computational Mathematics [closed]

I have been searching the net for a few days as to what all courses i must have done to make sense of the field of Computational Mathematics. I came up with these: 1.) Discrete Mathematics and Data ...
3
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3answers
71 views

Where can I find public datasets of images mostly dominated by contour?

I am about to start research for my thesis. I am trying to find public datasets of images mostly dominated by contour meaning (An outline, esp. one representing or bounding the shape or form of ...
3
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1answer
132 views

Recover curves from noisy collection of points

Background: I'm trying to make a system that tracks a number of bubbles in a video I'm implementing the bubble detection in the single image case using the Circular Hough Transform. Due to ...
5
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1answer
128 views

Conjugate Gradient with Hierarchical Basis Functions: How can the hierarchical base be decomposed?

I'm trying to implement a Conjugate Gradient solver using Hierarchical Basis Functions, following this paper. In section 3 the paper says that the hierarchical basis matrix $S$ can be decomposed into ...
3
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1answer
190 views

Fitting a grid to an STM image

Suppose I have a scan from an STM image (very much like the things you see here). Suppose I have a simple square lattice with lattice parameter a. What I'd like to do is to numerically find the ...
3
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1answer
314 views

How does each process in bag of visual words image classification work?

I hope this is on topic, I found this through the proposal here: http://discuss.area51.stackexchange.com/questions/320/shall-we-unite-computational-science-proposals A good visual description of BOW: ...
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2answers
235 views

Quickly finding rough lines in sets of points

In a particular class of detector our data comes out as pairs of points in two dimensions, and we want to string these points into lines. The data is noisy, and is binned in one direction but not in ...