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. ...

learn more… | top users | synonyms

0
votes
3answers
38 views

Algorithm: Extracting motion frequency from video

I was wondering if anyone knows of any algorithms or projects that can detect the frequency of a motion from a video clip. Like if I had a video of a bouncing ball with constant frequency, could an ...
1
vote
2answers
109 views

Image recognition on Raspberry Pi

I'd like to distinguish different types of beers in my fridge using a Raspberry Pi. I saw a very good tutorial on Adafruit that utilized OpenCV for face recognition. Can these same face recognition ...
1
vote
1answer
50 views

What is Precision-Recall Curve? [closed]

I have a data mining assignment where I make a content-based image retrieval system. I have 20 images of 5 animals. So in total 100 images. My code returns the 10 most relevant images to an input ...
0
votes
1answer
47 views

Rank of image intensity matrix

I've been reading a paper about using Matrix Completion for Photometric Stereo but I am having some troubles in section 2.2 trying to understand why irrespective of the number of pixels and the number ...
0
votes
0answers
22 views

What are the real examples of affine camera and weak perspective camera models?

If I am not wrong, there are three linear camera models of which the projection matrices can be represented as 3x4 matrices: ...
0
votes
1answer
592 views

How to detect smiles using OpenCV and IntraFace?

I have installed OpenCV and IntraFace, now the code can detect landmarks on the face, like this : Now how can I convert this to a smile detector? I have the landmark points as an array, so I ...
0
votes
0answers
25 views

Is it possible to generalize the two view Sampson error to multiple view cases in computer vision?

In multiple view geometry of computer vision, there is a geometric error called Sampson error which is very useful in the nonlinear estimation of fundamental ...
0
votes
1answer
92 views

A Filter is Sum normalized to 0 and square normalized to 1

Firstly, About the Hierarchical Model And X (HMAX model), i still don't understand what is the difference between the "Original model" and "Standard model". Does in Standard, we use imfilter not conv2 ...
0
votes
1answer
78 views

How to recover the 3x4 pinhole camera from 9 parameters

I downloaded the bundle adjustment data from this link: original data for bundle adjustment which is the supporting data for a paper titled: Bundle Adjustment in the Large I want to use the data ...
1
vote
0answers
53 views

Environment for implementing/testing Computer Graphics algorithms [closed]

I need to code up a computer graphics algorithm for Surface Registration. Briefly surface registration is the process of finding "optimal" one-one correspondence between surfaces, where the meaning ...
2
votes
0answers
60 views

Network Flow - based optimization in renowned paper appears to have a wrong step

This is probably going to be an easy question for most people and embarass me. I've been reading the Zhang et al. 08 paper on detection-based tracking through network flows: ...
2
votes
0answers
100 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, ...
1
vote
0answers
169 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
votes
1answer
130 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 ...
4
votes
1answer
718 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 ...
3
votes
3answers
88 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
votes
1answer
155 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
votes
1answer
143 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
votes
1answer
253 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
votes
1answer
859 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: ...
10
votes
2answers
363 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 ...