In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects.This process can be accomplished either by active or passive methods. If the model is …
In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of …
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact …
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and …
Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning. It is based on an artificial neural …
Semantic segmentation refers to classification of individual pixels in an image to a set of predefined categories/classes. Semantic segmentation is a fundamental type of image analysis that has a plethora of applications across all imaging …
Stereopsis (from Ancient Greek στερεός (stereós) 'solid', and ὄψις (ópsis) 'appearance, sight') is the component of depth perception retrieved through binocular vision. Stereopsis is not the only contributor to depth perception, but it is a …
Unsupervised learning is a type of algorithm that learns patterns from untagged data. The hope is that through mimicry, which is an important mode of learning in people, the machine is forced to build a …
