This indispensable text introduces the foundations of three-dimensional
computer vision and describes recent contributions to the field.
Fully revised and updated, this much-anticipated new edition reviews a
range of triangulation-based methods, including linear and bundle
adjustment based approaches to scene reconstruction and camera
calibration, stereo vision, point cloud segmentation, and pose
estimation of rigid, articulated, and flexible objects. Also covered are
intensity-based techniques that evaluate the pixel grey values in the
image to infer three-dimensional scene structure, and point spread
function based approaches that exploit the effect of the optical system.
The text shows how methods which integrate these concepts are able to
increase reconstruction accuracy and robustness, describing applications
in industrial quality inspection and metrology, human-robot interaction,
and remote sensing.
Practitioners of computer vision, photogrammetry, optical metrology,
robotics and planetary science will find the book an essential
reference.
Examines three-dimensional surface reconstruction of strongly
non-Lambertian surfaces by the combination of photometric stereo and
active range scanning, with applications to industrial metrology (NEW).
Discusses pose estimation and tracking of human body parts, and
subsequent recognition of actions performed in a complex industrial
production environment, in the context of safe interaction between
humans and industrial robots (NEW).
Reviews the construction of high-resolution lunar digital elevation
models based on orbital imagery in combination with laser altimetry
data, including a discussion of the latest lunar spacecraft data sets
(NEW).
