September 2012
Beginner to intermediate
384 pages
10h 52m
English
book
Color in Computer Vision: Fundamentals and Applications
by Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek
Content preview from Color in Computer Vision: Fundamentals and ApplicationsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Index
Applications
color constancy
feature detection
feature extraction
image retrieval
color names
image segmentation
object recognition
road detection
skin detection
Chromatic adaptation
Bradford transform
CMCCAT2000 transform
Color boosting
photometric robustness
Color constancy
chromatic adaptation
color ratios
computational
diagonal offset model
human
chromatic adaptation
ratios
human color constancy
illuminant estimation
Retinex
Color constancy methods
Bayesian methods
color-by-correlation
combination using output statistics
gamut mapping
gamut mapping combination
gamut mapping using N-jet
gamut-constrained illuminant estimation
gray-edge
gray-world
max-RGB
physics-based methods
shades-of-gray
using high-level visual information
using natural image statistics
using scene categories
white-patch
Color feature detection
Color features
boosting
color distinctiveness
function
repeatability
Canny edge detection
circle patterns
color distinctiveness
color Gabor filtering
color tensor
corner detection
curvature detection
edge detection
filterbanks
Harris affine
Harris detector
Harris-Laplace
illuminant invariant
edge detection
optical flow
oriented patterns
star and spiral-like patterns
structure tensor
eigenvalue analysis
weighted
symmetry detector
Color histograms
density estimation
Color image descriptors
invariants
C-SIFT
color ratios
discriminative power
H-SIFT
histogram
O1O2
RGB
rg
hue
saturation
HSV-SIFT
information content
SIFT
RGB
rg
C
gray
HSV
hue
opponent
W-SIFT
Color ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.