Arobotmustperceivethethree-dimensionalworldifitistobeeffective
there. Yet recovering 3-D information from projected images is
difficult, and still remains thesubjectofbasic research.
Alternatively, onecan use
sensorsthatcanprovidethree-dimensionalrangeinformationdirectly. The
technique ofprojecting light-stripesstartedto be used in
industrialobject recognition systems asearly asthe 1970s,
andtime-of-flight laser-scanning range finders became available for
outdoor mobile robotnavigation in the mid-eighties. Once range data
are obtained, a vision system must still describe the scene in
terms of 3-D primitives such as edges, surfaces, and volumes, and
recognize objeCts of interest. Today, the art of sensing,
extractingfeatures, and recognizing objectsbymeans
ofthree-dimensional
rangedataisoneofthemostexcitingresearchareasincomputervision.
Three-Dimensional Machine Vision is a collection of papers dealing
withthree-dimensionalrangedata. Theauthorsarepioneeringresearchers:
some are founders and others are bringingnew excitements in
thefield. I have tried to select milestone papers, and my goalhas
beento make this
bookareferenceworkforresearchersinthree-dimensionalvision. The book
is organized into four parts: 3-D Sensors, 3-D Feature Extractions,
ObjectRecognitionAlgorithms, andSystemsandApplications. Part I
includes four papers which describe the development of unique,
capable 3-D range sensors, as well as discussions of optical,
geometrical, electronic, and computational issues. Mundy and Porter
describe asensor
systembasedonstructuredilluminationforinspectingmetalliccastings.
In order to achieve high-speed data acquisition, it uses multiple
lightstripes withwavelength multiplexing. Case, Jalkio, andKim
alsopresentamulti stripe system and discuss various design issues
in range sensing by triangulation.
ThenumericalstereocameradevelopedbyAltschuler, Bae, Altschuler,
Dijak, Tamburino, and Woolford projects space-coded grid patterns
which are generated by an electro-optical programmable spatial viii
PREFACE light modulator. Kanade and Fuhrman present a proximity
sensor using multipleLEDswhich areconically arranged. Itcan
measurebothdistance andorientationofanobject'ssurface."
General
Imprint: |
Kluwer Academic Publishers
|
Country of origin: |
United States |
Series: |
The Springer International Series in Engineering and Computer Science, 21 |
Release date: |
March 1987 |
First published: |
1987 |
Authors: |
Takeo Kanade
|
Dimensions: |
235 x 155 x 33mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
610 |
Edition: |
1987 ed. |
ISBN-13: |
978-0-89838-188-7 |
Categories: |
Books >
Computing & IT >
Applications of computing >
Artificial intelligence >
Computer vision
|
LSN: |
0-89838-188-6 |
Barcode: |
9780898381887 |
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