Questions about computer vision -- please include example images to illustrate your problem.

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69 views

Width of a String/Line in an Image

I have been looking for a method to find the width of a line. I found the solution(link: http://www.mathworks.com/matlabcentral/answers/88645-average-width-of-lines), "sum up the image to get the ...
1
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1answer
18 views

Computing gaussian kernel for image blurring

When I compute a gaussian kernel for image blurring should I normalize the 1D vectors? Because when I apply the raw values sometimes the image gets lighter or darker. The function I'm using is $f(x) = ...
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0answers
10 views

What is the need of re-sampling the image for HOG features?

I read Dalal and Triggs paper for HOG description and a blog Chris McCormick HOG regarding the same. The blog says that the image needs to be re-sampled at different scales to recognize different ...
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0answers
23 views

Detecting facial texture [closed]

I would like to extract facial texture information to feed into my neural network as an indicator of beauty. The data set I am working with is just a face framed by a black box. Each face is centered ...
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4answers
2k views

How to generate stereo image pair from a stationary mono camera?

I have a stationary mono camera which captures a single image frame at some fps. Assume the camera is not allowed to move,how do i generate a stereo image pair of the acquired frame? Is there any ...
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0answers
43 views

How to design deep convolutional neural networks?

As I understand it, all CNNs are quite similar. They all have a convolutional layers followed by pooling and relu layers. Some have specialised layers like FlowNet and Segnet. My doubt is how should ...
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0answers
12 views

Prominent computer vision literature on specific object recognition with labelled training data?

Within the computer vision literature there is a large body of work on image or object category recognition. Typically, classifiers are trained on labelled training data to disambiguate categories (...
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2answers
31 views

Hough transform: difference in cartesian to polar equation

According to Wikipedia and most other resources on the internet, the relation between cartesian coordinate and polar coordinate parameters are described by the equation $x\cos{\theta}+y\sin{\theta}=d$....
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1answer
15 views

Using Headpose Vector and 2D Points to Compute Distances

I have a frame taken from a video. The frame contains a face and I have the (x, y) locations of the features (corners of lips, edge of eyebrows, etc.) and the headpose vector (pitch, yaw, roll), which ...
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1answer
15 views

What is 'real time' in a Computer Vision context?

Suppose you have a program which works on a stream of images. It gets an image, makes edits and stores the image. What is the maximum latency with which one can still speak of a "real time application"...
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1answer
9 views

Is there any merging procedure for multiple scenes taking from RGB-D to avoid noise?

To avoid the noise as much as possible, I'm planning to take multiple scenes from RGB-D then try to merge them .... so is there any research papers , thoughts , ideas , algorithms or anything to help
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2answers
46 views

Which algorithm for counting the occurrences of a certain pattern (spots) in an image?

The Problem : Finding the number of occurrences of a certain pattern (or shape) in an image. In my example, the problem is about finding the number of spots (in variety of sizes) in an image. See ...
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0answers
28 views

Algorithms to convert 2D videos to 3D ones

Are there published algorithms that can convert 2D videos to 3D ones? If there are few published algorithms for this I am also interested to know how the conversion quality is.
0
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1answer
20 views

Using Taylor series in 1D Grayscale Image

Could someone point me in the direction of how to solve this? I = [I1, . . . , In] is a 1D grayscale image and D = [D1, . . . , Dn] represents the second derivative of I. I am given the four pixel ...
2
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1answer
88 views

Is it a good idea to determine coordinates of object on images with regression algorithms?

I am doing doing one of getting started competitions on kaggle, the one which requires you to find coordinates of different objects on images. I know that the usual method for this is to use sliding ...
1
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3answers
44 views

Is it correct to use the pinhole camera model to get the mapping of a 3D line to a line in an image?

I've been working on a computer vision project in which I'm using the pinhole camera model to map one line of the world to one line in an image. From previous research on the topic, I know that it is ...
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0answers
31 views

Belief Propagation in Computer Vision

I am working on dense matching using DSP algorithm. They have used belief propagation to optimize their energy function? How do we do it? I mean how do we assign prior belief? Link: Deformable Spatial ...
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2answers
37 views

Reconstruction of drawing sequence from video

I have a video that record the drawing sequence with a pencil by a painter. I want to reconstruction the sequence from the video. And I have google some keywords like "drawing sequence reconstruction"...
4
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3answers
136 views

How can I sum pixel values over a rotated rectangle?

I have an optimization problem in which I need to sum pixel values in an image over a rectangular region. This is a core component of the optimization so it will be done often and the naive solution ...
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0answers
30 views

In determining shape from line, what is special about the lines I've shown in these drawings by Ken Reid? [closed]

I'm interested in the way artists use lines to indicate shape in drawings. Strictly speaking, my question is about human vision — how our brains interpret certain lines — but I'm asking it ...
3
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2answers
66 views

Segmenting a human body point cloud into limbs

I have a human body point cloud taken through a Kinect (v1). Now, I want to segment the point cloud into different parts, namely hands, lower arms, upper arms, torso, upper legs, lower legs, feet and ...
5
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1answer
80 views

Computer vision: Why do random filters perform similar to edge detectors?

I read here that "a randomly initialized filter acts very much like an edge detector!". I want to know if there are any papers describing and explaining this phenomenon.
5
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1answer
52 views

How to choose the number of HOG pyramid layers?

Reading Histograms of Oriented Gradients for Human Detection, I cannot see any discussion of how many layers there should be in the HOG pyramid. OpenCV offers a scaling factor of 1.05 which would mean ...
5
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1answer
30 views

Inverting radial distortion

I'm trying to understand the math behind correcting a radial distortion (caused by a lens), but I'm failing to have it explained in simple terms. I found several examples that proceed this way: a ...
0
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1answer
57 views

Does the SIFT feature be calculated in the original image or the corresponding octave(s)?

Given there are 4 octaves(the 1st octave is the original image, the 2nd octave is half size of the original image, and so on.), does SIFT calculate the keypoint's orientation in the original image or ...
2
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2answers
534 views

What is the difference between object detection, semantic segmentation and localization?

I've read those words in quite a lot of publications and I would like to have some nice definitions for those terms which make it clear what the difference between object detection vs semantic ...
4
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1answer
228 views

What is the difference between 'features' and 'descriptors' in computer vision / machine learning?

I've read multiple time sentences similar to Finally, for standard image classification bag-of-words features based on SIFT descriptors have been found critical for high performances. We first ...
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1answer
39 views

How are HOGs calculated?

Histograms of oriented gradients for human detection seems to be the paper from which all other papers cite when they use HOG features. However, this was the only description I could find in it: [....
4
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1answer
34 views

Finding a method to classify pixels according to how drastic their intensity change

I am looking for a method to classify pixels into three groups: (1) Pixels which does not change their intensity much in general (the slight changes may be due to noise only), (2) Pixels which change ...
0
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1answer
33 views

Terminology for Digitally Interpretting Environment

I am looking into coding a program that can Analyse an image and identify objects in that environment (incl their depth and contours/shape). What is the term for this? Is there a term or area of ...
1
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1answer
27 views

What are the vertical and horizontal focal lengths?

In this paper, http://www.vision.caltech.edu/malaa/publications/aly08realtime.pdf the author mentioned "the vertical and horizontal focal lengths" but didn't have any clear definition. My ...
3
votes
1answer
78 views

Removing common background in image processing phase for classification

I'm trying to build a machine learning classifier that can detect which object is in an image. I have a labled training set of images and am currently in the image processing phase. Each of these ...
2
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1answer
16 views

Are there any articles or software which can infer original shapes from overlapping shapes?

Given that some shapes overlap in an image, are there any papers or articles or code which can infer the original shapes from the overlapping? I am thinking to apply some machine learning to this ...
2
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0answers
35 views

Learning Image Processing/Computer Vision

What do I need to learn dense correspondence? I am a newbie in Image processing/CV. Please help me by suggesting a kind of syllabus or show me a way to learn about Dense Matching. What are the things ...
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0answers
39 views

How to train a Conditional Random Field/Markov Random Field Model for Object Classification in images given the features?

I want to classify superpixels in a image using a Markov Random Field/ Conditional Random Field model but have found no place that can help me with this (references don't even show how the network is ...
3
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1answer
50 views

Image Comparison tuned to Human Perception

Say I have two systems that take the same drawing commands and starts drawing on their respective platforms (i.e. HTML Canvas). After this is done, I want to save and compare these two images to ...
1
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0answers
188 views

What happen to the Zero Mean Normalized Cross Correlation (ZNCC) if one of the vectors is a Zero Vector?

I am studying the Zero Mean Normalized Cross Correlation (ZNCC) method for pattern matching. I would like to match the pattern of a square region of size $N \times N$ from two different images. Hence ...
2
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1answer
85 views

Alignment of RGBD with a thermal camera

I have a thermal camera that I would like to overlay, automatically, to the output of a RGB-D camera (e.g. Kinect). I have retrieved the intrinsic and extrinsics parameters of both cameras. My ...
2
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1answer
39 views

Looking for Methods in Computer Vision for Distinguishing Disappearing and Fading Objects

Suppose I have a video in which there are two objects $A$ and $B$. Object $A$ appears suddenly at time $Ta1$, and then disappears suddenly at time $Ta2$. Object $B$ appears suddenly at time $Tb1$, and ...
2
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0answers
45 views

How to select a good window size in the Running Gaussian Average method for Selective Background Updating?

I have been studying the Selective Background Updating in Running Gaussian Average Method, as discussed in the Wikipedia (the Variant method). The details of the algorithm, as I understand, is as ...
4
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1answer
85 views

Register images containing objects with varying distance to the cameras

I'm learning about using image registration to align two images, e.g., two photographs of the same scene taken from a slightly different location. What factors influence how well we can align the ...
0
votes
1answer
120 views

Clustering a set of images using keypoint descriptors

I'm trying to cluster around 16000 images into ~200 clusters, using kmeans with metric as euclidean distance or cosine distance. I understand that i need to extract keypoint descriptors to compute ...
2
votes
1answer
97 views

Algorithm for Filling Regions with Small Gaps

I am looking for an algorithm that fills a region with one color, but the edge of the region is not completely closed (i.e. one or more gaps are being left). The result is like the use of the Paint ...
2
votes
1answer
70 views

Selective Background Updating in Running Gaussian Average Method for Background Subtraction

I am studying the Running Gaussian Average Method for background subtraction. One alternative, as described in Wikipedia, also known as Selective Background Updating, is to only update the ...
3
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1answer
46 views

Multi object image segmentation methods

I want to survey the state-of-the-art in image segmentation. Is there a paper on how to segment multiple objects in an image? The segmentation papers I read, normally identify one of the many objects ...
1
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1answer
144 views

Intrinsic matrices in stereo camera calibration

Suppose I have two cameras, c1 and c2, observing the same scene. I can now Calibrate each camera independently (e.g., with MATLAB's Camera Calibration App) Calibrate both cameras simultaneously (e.g....
1
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1answer
29 views

Is the Projection Matrix estimated using least-squares pose specific?

I am calibrating a camera and estimating the projection matrix using the least-squares technique described here. So far, I thought that the projection matrix that I got with this method was ...
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0answers
39 views

Any applications that need fast insert or delete for quadtrees?

I know that quadtree could be used in collision detection. But most articles I found are related with quadtree construction and retrieval. I wonder if there are some circumstances which involve both a ...
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0answers
63 views

Featurizing images of different dimensions

I'm building a non linear svm for images to solve a classification problem with domain {0, 1} and I'm currently doing featurization. What I want to do is create 3 features for each pixel representing ...
2
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1answer
59 views

Getting the essential from the fundamental matrix

Is it possible to get E from F? I suppose that can't work, because then I could calculate the the extrinsic (and maybe also intrinsic?) parameters of the cameras without a calibration object of known ...