A Closed-Form Solution to Natural Image Matting
The motivation of this paper is matting, which is the process of extracting foreground objects
from a given image. In achieving the extraction task, mat
Energy Minimization via Graph Cuts: Settling What is Possible
Daniel Freedman and Petros Drineas
Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY 12180
Abstract
contributions of
PRT
trades os precomputation+space for time
uses linearity of light transport
uses rotational invariance of s.h. for rigid transforms
linearity
recall
Lt = Le + BLt
Lt BLt = Le
(I B)Lt = Le
Lt = (
photon mapping
variation on these themes, and others
makes very good tradeos
not quite monte carlo
6 terms become 4 terms
split up brdf into specular and diuse part
split up incoming equillibrium
Monte Carlo integration
pixel color is a denite integral
hard to do in closed form
approximate integral as weighted sum over samples
I[i][j]
I(x, y)Fi,j (x, y)dxdy
=
I(xk , yk )Fi,j (xk , yk )wi,j,
topics
units for light
units for reection
equations for reection
algorithims for computing lighting
assumptions
light is a eld of photons ying through free space
photons y in straight lines and
Eulerian Video Magnication for Revealing Subtle Changes in the World
Hao-Yu Wu1
Michael Rubinstein1
1
Eugene Shih2
MIT CSAIL
2
John Guttag1
Fr do Durand1
e
William Freeman1
Quanta Research Cambridge,
Image Smoothing via L0 Gradient Minimization
Li Xu
Cewu Lu
Yi Xu
Jiaya Jia
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Figure 1: L0 smoothing accomplished by glo
Phase-Based Video Motion Processing
Neal Wadhwa
Michael Rubinstein
Fr do Durand
e
William T. Freeman
MIT Computer Science and Articial Intelligence Lab
t
x
(a) Source
(b) Linear [Wu et al. 2012]
(c) P