This is a continuation of my previous blog post on image classification and the bag of words (BoW) model. If you already know how BoW works, then you will feel right at home. If you need a refresher, you can read the blog post here. In our previous post, we discussed how BoW works, and … Continue reading Image Classification Using Fisher Vectors
Tag: Brain
Image Classification Using Bag-Of-Words Model
Image classification is one of the classical problems in computer vision. Basically, the goal is to determine whether or not the given image contains a particular thing like an object or a person. Humans tend to classify images effortlessly, but machines seem to have a hard time doing this. Computer Vision has achieved some success in … Continue reading Image Classification Using Bag-Of-Words Model
What Is Gamma Correction?
Gamma correction is an integral part of all the digital imaging systems, but a lot of people don't know about it! It is an essential part of all the imaging devices like cameras, camcorders, monitors, video players, etc. It basically defines the relationship between a pixel's numerical value and its actual luminance. Now wait a … Continue reading What Is Gamma Correction?
Recognizing Shapes Using Point Distribution Models
In the field of computer vision, we often come across situations where we need to recognize the shapes of different objects. Not only that, we also need our machines to understand the shapes so that we can identify them even if we encounter them in different forms. Humans are really good at these things. We somehow … Continue reading Recognizing Shapes Using Point Distribution Models
What Is Random Walk?
Consider the following situation. We have a drunkard who is clinging to a lamppost, and now he decides to start walking. He is in the middle of the street and the road runs from east to west. In his inebriated state, he is as likely to take a step towards the east as he is … Continue reading What Is Random Walk?
Purkinje Effect
Ever wondered why the colors seem to change at night? For example, if you look at an air painting, you can see how the colors of objects look radically different in very low light just before dawn or dusk. Consider a red rose, for instance. We know that the flower's petals are bright red against … Continue reading Purkinje Effect
Asymmetric Dominance Effect
Let's consider a situation. There is a company with two products, A and B. Both these products have their own merits and demerits. Product A has relatively less features, but it's price is low. Product B, on the other hand, has more features but it's more expensive. Consumers tend to pick both these products depending … Continue reading Asymmetric Dominance Effect
Can Machines Be Truly Independent?
In my previous blog post, we discussed about how we can measure a computer's intelligence. When we talk about machine intelligence, what exactly are we talking about? Are we just talking about machines mimicking the human ways and mannerisms in the best possible way? No matter what the machines do, they are still following a … Continue reading Can Machines Be Truly Independent?
Can We Measure A Computer’s Intelligence?
People talk about artificial intelligence all the time. Artificial intelligence is the branch of study which deals with putting intelligence into the machines so that they can do things by themselves. But how do we know if they are getting intelligent? For us humans, we have designed various kinds of IQ tests to measure our … Continue reading Can We Measure A Computer’s Intelligence?
What Does Backpropagation Mean?
People started working on artificial intelligence back in the late '60s. After they came up with the concept of perceptron, this field looked very promising. But as the years passed by, no significant development took place even after making several attempts from multiple directions! As people were beginning to lose hope, backpropagation came into picture … Continue reading What Does Backpropagation Mean?
Perpetual Enigma 