Portal de Periódicos da CAPES

Deep Learning Techniques for Computer Vision

2023; IGI Global; Linguagem: Inglês

10.4018/978-1-6684-7216-3.ch011

2327-199X

V. Stella Mary, P. Jayashree, G. Rajesh, V. Viswanath Shenoi,

Video Surveillance and Tracking Methods

Object detection or shape reconstruction of an object from images plays a vital role in computer vision, computer graphics, optics, optimization theory, statistics, and various fields. The goal of object detection is to empower the machines to locate and identify the items or things in the given image or video. An object forms the image in human eyes or on a camera sensor is defined by its shape, reflectance, and illumination. This overview covers the estimation of the object shape, reflectance, illumination, recent object detection algorithms and data sets used in recent research works. The classic photometric stereo is aimed to reconstruct the surface orientation from the known parameters of reflectance and illumination in multiple images. Object detection approaches are used to find various pertinent objects in a given single image and location of the objects. There are various datasets for objection detection, some of them are addressed here.