Name: Pose Invariant Face Recognition Using pca (en Inglés)
SKU: 62655731
Price: 68.49 USD
Availability: InStock
Author: Nehal Patel; Jaimin Chavda
ISBN: 9783659788949

portada Pose Invariant Face Recognition Using pca (en Inglés)

Pose Invariant Face Recognition Using pca (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Nehal Patel; Jaimin Chavda

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783659788949

Pose Invariant Face Recognition Using pca (en Inglés)

Nehal Patel; Jaimin Chavda (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 23 días háb.

$ 136.97$ 68.49

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 68.49

Llega entre el 26 Oct y el 09 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Pose Invariant Face Recognition Using pca (en Inglés)"

Both face detection and recognition are very curious areas in the field of image analysis, computer vision and pattern recognition that has received a big deal of attention over the last few years. It has been widely used for the purpose of security and forensic science for identify of an individual e.g. at the place of video surveillance, airports, traffic, terrorist attacks.To analyze the information of face images: faster, robust and efficient face detection and recognition algorithms are required. This system has been facing problems in recognizing subjects of varying poses, illumination conditions, facial expressions, and face occlusions. Due to variation in pose relative to camera certain features like smile, open eyes or mouth, left side or right side of mouth or eyes, occluded mouth or eyes can't be detected and extracted properly. It will be a critical task to detect a person with varying poses in vertical direction. In this work we present, face detection is performed by skin tone. Through PCA extract features and system is getting trained and tested. For face recognition process, Euclidean distance is measured and based on that minimum distance face is recognized