|Other titles||Visual cognition.|
|Statement||edited by Vicki Bruce, Glyn Humphreys.|
|Contributions||Bruce, Vicki., Humphreys, Glyn W.|
|LC Classifications||BF241 .O24 1994|
|The Physical Object|
|Pagination||p.138-374,  p. of plates :|
|Number of Pages||374|
What is Object Recognition? Object recognition is a general term to describe a collection of related computer vision tasks that involve identifying objects in digital photographs. Image classification involves predicting the class of one object in an image. This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for . 20 rows Vision-based object recognition tasks are very familiar in our everyday activities, . Second half focuses on face recognition, an ecologically important instance of the general object recognition problem. Describes experimental studies of human face recognition performance and recent attempts to mimic this ability in artificial computational systems.
30 rows This book will serve as a handbook for students, researchers and practitioners in the . The AI research division at Facebook is open sourcing its image recognition software with the aim of advancing the tech so it can one day be applied to live video. Facebook’s DeepMask, SharpMask, and MultiPathNet software is Author: Saqib Shah. Object Recognition: History and Overview Slides adapted from Fei-Fei Li, Rob Fergus, Antonio Torralba, and Jean Ponce • Fingerprint recognition • Face detectionFace detection. What “works” today • Fingerprint recognition • Face detectionFace detection • Recognition of flat textured objects (CD covers, book covers etc)book. Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD by: 6.
This special issue on Object and Face Recognition presents a series of original papers which show how current experimental, neuropsychological and computational techniques are clarifying the mechanisms involved in processing and recognising objects and faces, and the relationship between face recognition and the recognition of other kinds of visual object. Face recognition is often described as a process that first involves four steps; they are: face detection, face alignment, feature extraction, and finally face recognition. Face Detection. Locate one or more faces in the image and mark with a bounding box. in image and object representation and matching that is of interest to face recognition re-searchers. The book is intended for practitioners and students who plan to work in face recognition or who want to become familiar with the state-of-the-art in face recognition. The difference is you know what you are looking at so you can make optimisations for face recognition. Faces have two eyes, a nose and a mouth. We can recognize faces by measuring the distance between these different locations. Object recognition.