Landmark-Based Image Analysis: Using Geometric and Intensity Models

Portada
Springer Science & Business Media, 2001 M02 28 - 303 páginas
Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landmarks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.
 

Comentarios de la gente - Escribir un comentario

No encontramos ningún comentario en los lugares habituales.

Contenido

II
1
III
4
IV
7
V
13
VI
16
VII
19
VIII
21
IX
26
XLI
109
XLII
110
XLIII
112
XLV
117
XLVI
143
XLVII
151
XLIX
152
L
156

X
28
XI
29
XII
31
XIII
32
XIV
33
XV
35
XVI
36
XVIII
39
XIX
40
XX
41
XXI
42
XXII
43
XXIII
45
XXIV
47
XXVI
50
XXVII
58
XXVIII
60
XXIX
63
XXX
68
XXXI
70
XXXII
78
XXXIII
81
XXXIV
84
XXXV
87
XXXVI
90
XXXVII
93
XXXVIII
100
XXXIX
102
XL
106
LI
168
LII
169
LIII
171
LIV
172
LV
176
LVI
179
LVII
183
LIX
186
LX
188
LXI
191
LXII
198
LXIV
201
LXV
205
LXVI
206
LXVII
211
LXVIII
216
LXIX
217
LXX
221
LXXI
224
LXXII
226
LXXIII
232
LXXIV
239
LXXV
245
LXXVI
248
LXXVII
253
LXXVIII
257
LXXIX
299
Derechos de autor

Otras ediciones - Ver todas

Términos y frases comunes

Pasajes populares

Página 280 - Maciunas, RJ, and Fitzpatrick, JM, "Registration of head CT images to physical space using a weighted combination of points and surfaces," IEEE Transactions on Medical Imaging, 17, pp.
Página 281 - JV Miller, DE Breen, WE Lorensen, RM O'Bara, and MJ Wozny. Geometrically Deformed Models: A method for extracting closed geometric models from volume data.
Página 281 - On the problem of geometric distortion in Magnetic Resonance Images for Stereotactic Neurosurgery,
Página 275 - A. Jain, Y. Zhong, and S. Lakshmanan. Object matching using deformable templates.

Información bibliográfica