Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Casey A. Smith

dblp:28/5312 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 61% Rendering · 30% Computational photography and imaging · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › color image processing
dichromatic reflection model
0.112008
A bi-illuminant dichromatic reflection model for understanding images · CVPR 2008
Rendering
reflectance modeling
0.112008
A bi-illuminant dichromatic reflection model for understanding images · CVPR 2008
Computational photography and imaging
color constancy
0.012008
A bi-illuminant dichromatic reflection model for understanding images · CVPR 2008

Methods — techniques the papers use, named apart from their topics

bi-illuminant dichromatic reflection model · 0.1
YearPublicationVenuePosition
2008 A bi-illuminant dichromatic reflection model for understanding images
abstract
This paper presents a new model for understanding the appearance of objects that exhibit both body and surface reflection under realistic illumination. Specifically, the model represents the appearance of surfaces that interact with a dominant illuminant and a non-negligible ambient illuminant that may have different spectral power distributions. Real illumination environments usually have an ambient illuminant, and the current dynamic range of consumer cameras is sufficient to capture significant information in shadows. The bi-illuminant dichromatic reflection model explains numerous empirical findings in the literature and has implications for commonly used chromaticity spaces that claim to be illumination invariant but are not in many natural situations. One outcome of the model is the first 2-D chromaticity space for an RGB image that is robust to illumination change given dominant and ambient illuminants with different spectral power distributions.
Bruce A. Maxwell, Richard M. Friedhoff, Casey A. Smith
CVPR3