國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Deep learning in object detection an...

Jiang, Xiaoyue.

Deep learning in object detection and recognition

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning in object detection and recognitionedited by Xiaoyue Jiang ... [et al.].
其他作者:	Jiang, Xiaoyue.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xvi, 224 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer vision.
電子資源:	https://doi.org/10.1007/978-981-10-5152-4
ISBN:	9789811051524$q(electronic bk.)

Deep learning in object detection and recognition
Deep learning in object detection and recognition[electronic resource] /edited by Xiaoyue Jiang ... [et al.]. - Singapore :Springer Singapore :2019. - xvi, 224 p. :ill., digital ;24 cm.

1. An Overview of Deep Learning -- 2. Object Detection In Deep Learning -- 3. Deep Learning in Face Recognition across Pose and Illumination -- 4. Face Anti-spoofing via Deep Local Binary Pattern -- 5. Face Anti-spoofing via Deep Local Binary Pattern -- 6. Deep Learning Architectures for Face Recognition in Video Surveillance -- 7. Deep learning for 3D data -- 8. Deep Learning based Descriptors for Object Instance Search.

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.

ISBN: 9789811051524$q(electronic bk.)

Standard No.: 10.1007/978-981-10-5152-4doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634 / .D44 2019

Dewey Class. No.: 006.37

Deep learning in object detection and recognition
LDR:02311nmm a2200337 a 4500 001 569364
003 DE-He213
005 20191118180533.0
006 m d
007 cr nn 008maaau
008 200723s2019 si s 0 eng d
020 $a 9789811051524$q(electronic bk.)
020 $a 9789811051517$q(paper)
024 7 $a 10.1007/978-981-10-5152-4 $2 doi
035 $a 978-981-10-5152-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634 $b .D44 2019
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .D311 2019
245 0 0 $a Deep learning in object detection and recognition $h [electronic resource] / $c edited by Xiaoyue Jiang ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xvi, 224 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. An Overview of Deep Learning -- 2. Object Detection In Deep Learning -- 3. Deep Learning in Face Recognition across Pose and Illumination -- 4. Face Anti-spoofing via Deep Local Binary Pattern -- 5. Face Anti-spoofing via Deep Local Binary Pattern -- 6. Deep Learning Architectures for Face Recognition in Video Surveillance -- 7. Deep learning for 3D data -- 8. Deep Learning based Descriptors for Object Instance Search.
520 $a This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.
650 0 $a Computer vision. $3 200113
650 0 $a Image processing. $3 182627
650 1 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Pattern Recognition. $3 273706
700 1 $a Jiang, Xiaoyue. $3 855326
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-10-5152-4
950 $a Computer Science (Springer-11645)