Sorry, you need to enable JavaScript to visit this website.

RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY

Citation Author(s):
Maryam Haghighat, Reji Mathew and David Taubman
Submitted by:
Maryam Haghighat
Last updated:
21 September 2019 - 7:18am
Document Type:
Poster
Document Year:
2019
Event:
Presenters Name:
Maryam Haghighat
Paper Code:
3007

Abstract 

Abstract: 

In this work we explore an overcomplete representation of
multiview imagery for the purpose of compression. We
present a rate-distortion (R-D) driven approach to decompose
multiview datasets into two additive parts which can
be interpreted as being the diffuse and specular components.
We apply different transforms to each component such that
the compressibility of input data is improved. We describe
a framework which performs the R-D optimized separation
in a registered domain to avoid the complexity of warping
between views. Experimental results highlight the benefits
of the proposed source separation approach in the context of
compression.

up
0 users have voted:

Dataset Files

ICIP2019_Haghighat_Poster.pdf

(245)