aerbdfo hiubqh3rw

test 0

test1



srthbser

eargwerg

snowflake

snowflakes!!!

Child

A few years ago, I was in charge of my five-year-old niece for the day.  As is often the case with five-year-olds, I was about to get a whole lot more than I bargained for. 

I needed to run to the office for a minute--I was then the CEO of Virtual Shopping Inc., an early e-commerce player later sold to Europe's Wallenberg Group--so I told her to get in the car.  As we walked to the garage, she looked down at the carpet and asked me how carpet is made.  I knew there were big machines that sewed it, or something like that, but I didn't know much more.  She was clearly disappointed.

When we got to the car, she tapped on the window and asked me how to make glass.  I explained that it involved fire and sand.  She looked at me like I was crazy.  I was losing, two-zip.  To a kindergartner.

When we got to the office, my niece did what all kids her age do.  She questionedeverything.  "What is that thing?  Why do you have two of those?  What does that guy do?  Why is that girl on the phone all the time?"

blurred

Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be quite complicated, such as they may be space variant, nonlinear, and local. This paper addresses a very challenging problem: can we recover motion blindly from a single motion-blurred image?
There are mainly three contributions in our work

• Motion blur constraint: a major contribution of this paper is a new finding of an elegant motion blur constraint. Exhibiting a very similar mathematical form as the optical flow constraint, this linear constraint applies locally to pixels in the image. An illustration example is shown in Fig. 1.
• Space-variant motion blur estimation: a number of challenging problems can be addressed under a unified framework, including:
  • Motion blur estimation with a global parametric form, such as affine and rotational motion blur,
  • Multiple motion blur patterns estimation and segmentation,
  • Nonparametric motion blur field estimation.
• Applications:
  • Space-variant motion deblurring with a modified Richardson-Lucy algorithm,
  • Blur/motion synthesis.

testing panco way

hanab hanas hjasan hasan