Rafaelh.souza

Since acquiring Pixar, Disney has really stepped up their game - both their movies (Wreck-It Ralph,...

Frozach Submitted

operattack:

This seriously happened live on a news program in Brazil

Lookit these amazing little boogers! DEFINITIVE Cute Caturday Kittehs! Cuteporter Michelle W. tells us more: (with many more photos here.)

“It is hard to believe how adorable this litter of mystery kittens is, born immediately after the Napa CA. earthquake (Aug 24th at 3:20am) in my godmother’s carport.”

“We did not know the cat, but now she is a permanent part of our lives, along with probably 2 or 3 of the 6 kittens (as many as we can afford to keep!)”

“‘Lucie Morales’ is our new part-Lynx-Siamese Mama cat, and she has six kittens, now 7 weeks old. One Manx Siamese, one Manx Snowshoe, and 4 variations on Siamese/Tabby/Snowshoe combos.”

“Toebeans in ALL colors. Amazing. See for yourself.”

“The Siamese (Juno) and the gray tabby (Gandalf The Gray) still have blue eyes, at 7 weeks, while the rest have started going green.”

*Note: Michelle says all kittehs have been spoken for: “They were all claimed long ago! So, at least for the present, no more kitties are actually available. I can send an update if that changes!”

AAAAAAAAAAHAHAHAHAHAHAHAHAHAHAHAHAHAHA pqp.

Aliás, quem assistiu Guardiões da Galáxia precisa ouvir o Awesome Mix Vol.1 como trilha sonora do seu dia hj

.

Via FB

The post Roubo de perna mecânica appeared first on Le Ninja.

wiselwisel:

Internet en los 90s molaba el triple.

Heidelberg, Germany-based photographer Susanne is back (we also featured her photos in July) with another set of photos she took at the local shelter where she volunteers.

“A lot time passed and I’m still working as a photographer in the animal shelter,” she tells us.

“At the moment they have orphan cats…”

“…that they have to feed with the bottle.”

“They are absolutely adorable and I thought I have to send you those pics.”

"How much did I have to drink last night?" [via]

[strid3r21]

*The Foldabuhl Muzzlepowsche.
*Sleeves rolling down over the furry pads.
*Peeping tongue.
*Stubby butt.

[ded.] [Imgur.]

You see this little guy sitting on the sidewalk, minding his own business. Do you…

1.) Fall to the ground and begin immediate worship.

2.) Look left and right furtively, then scoop him up and plop him in your bag.

3.) Dissolve into a puddle of goo.

Comments encouraged!

I remember seeing the photo above on Flickr once, and having my brain melt slightly from trying to figure out what went wrong.

The issue was the propeller was rotating as the camera detector ‘read out’, i.e. there was some motion during the exposure of the camera. This is an interesting thing to think about, lets have a look.

Many modern digital cameras use as their ‘sensing’ device a CMOS detector, also known as an active-pixel sensor, which works by accumulating electronic charge as light falls upon it. After a given amount of time, the exposure time, the charge is shifted row-by-row back to the camera for further processing. There is then a finite time where the camera scans down the image, saving rows of pixels at a time. If there is any motion over this timescale the image will be distorted.

To illustrate, consider photographing a spinning propeller. In the animations below the red line corresponds to the current readout position, and the propeller continues to spin as the readout proceeds. The portion below the red line is saved as the captured image.

First, a propeller which completes 1/10th of a rotation during the exposure:

Some distortion, but nothing crazy. Now a propeller moving 10 times quicker, which completes a full rotation during the exposure:

This is starting to look like the Flickr image at the beginning. 5 times per exposure:

This is a little too far, things have clearly gone mental. Just for fun, let’s see what some different objects look like at different rotation speeds, from 0 to 1 rotation per exposure.

The same propeller as above:

A fatter propeller:

A car tire:

We can think of the rolling shutter effect being some coordinate transformation from the ‘object space’ of the real-world object, to the ‘image space’ of the warped image. The animation below shows what happens to the Cartesian coordinate grid as the number of rotations is increased. For small rotations the deformation is slight, as the number increases to 1 each side of the grid is moved successively towards the right-hand side of the image. This is a fairly complicated transformation to look at, but simple to understand.

Let the image be denoted by , and the real object (which is rotating) be denoted by where are 2D polar coordinates. Polar coordinates are a natural choice for this problem due to the rotational motion of the objects.

The object is rotating at angular frequency , and the shutter progresses across the image at speed in the vertical direction. At position in the image, the distance the shutter has moved since the start of exposure is , and so the time elapsed is . In this time the object has rotated a number of radians . Putting this together,

which is the required transformation. The factor is proportional to the number of rotations during the exposure, and parameterises the transformation.

To get some insight into the apparent shapes of the propellers, we can consider an object consisting of propellers where is non-zero only for for . The image is then non-zero for

or

In Cartesian coordinates this becomes

which helps to explain why the propellers get that S-shaped look – it’s just an inverse tangent function in the image space. Cool. I’ve plotted this function below for a set of 5 propeller blades at slightly different initial offsets, as might be observed during a video recording. They look pretty much like the shapes in the animations above.

Now we understand a little more about the process, can we do anything about these ruined photos? Taking one of the warped images above, I can take a line through it, rotate backwards the appropriate amount, then stick those pixels onto a new image. In the animation below I scan through the image on the left, marked by the red line, then rotate the pixels along that line onto a new image. This way we can build a picture of what the real object looks like even if a pesky rolling shutter ruined our original image.

Now if only my photoshop skills were better I could extract the propellers from the original Flickr image, un-warp them, and slap them back on the photo. Sounds like a plan for the future.

To figure out the real number of blades in the photo at the top of the post and the rotation velocity we can look to this excellent post at Daniel Walsh’s Tumblr blog, where he definitely has the edge on mathematical explanation.

He works out that we can calculate the number of blades by subtracting the ‘lower’ blades from the ‘upper’ blades, so in this picture we know there should be 3. We also know the propeller is rotating approximately 2 times during the exposure, so if we try ‘undoing’ the rotation with a few different speeds around that we get something like this:

I’ve had to guess where the centre of the propeller is, and I’ve drawn a circle to guide the eye. Looking at that, the centre shouldn’t be too far off. There is unfortunately a missing blade, but there’s still enough information to make an image.

There is a sweet spot where everything overlaps the most, so picking this rotation speed (2.39 rotations per exposure), the original image and blades look like this:

It’s still a bit of a mess unfortunately, but at least looks something like the real object.

About the author: Jason Cole is a PhD student from London with a passion for math, physics, and data visualization. Visit his website here. This article originally appeared here.

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Dark Souls is great - it's a game not afraid to be impossibly hard and unforgiving, in an age where other...

Yo, this is Belle.

A six-week old Terrier Puppeh ….

….who lives in the UK.

She’s about the same size as the family Hamster…who she swipes noms from.

Belle is six weeks old and should be about 8x larger than she is- she had some problems when she was born, resulting in her smallish size. But she is now gradually growing!

And….snoozing.

And….still snoozing.

“Admittedly I had to look up where Great Yarmouth is. English winters sound awfully harsh for a HAMSTER-SIZED PUPPY, so I think this pup should spend it with me in Dallas instead. Duh. You probably already have numerous emails including this Buzzfeed link, but as a longtime C.O. fan I couldn’t risk y’all missing this. Enjoy!” -Liz L.

prostheticknowledge:

Eyecatcher

Interactive installation from Interactive Architecture Lab is a frame which follows a person around the wall, even ‘looking’ back at you - video embedded below:

Using a combination of industrial robotics and high power magnets, a seemingly inconspicuous frame on a wall, magically comes to life. Through a series of experimental films, photography and physical prototypes, the primitive effects of eye (and eye-like) stimuli have been investigated. The Eye Catcher project in its conclusion has developed a novel expressive interface where emotion recognition algorithms read audience faces and in-turn trigger the animation of a face formed of ferrofluid.

As people walk by, unaware of the interactive installation, out of the corner of their eye, they see an unexpected movement. Turning their head, they find an empty frame on the wall appearing to move towards them and as they stop in disbelief it positions itself to look straight at them. Suddenly from the murky black liquid sitting in the bottom of the frame, two primordial pupils rise up and seem to stare back at its viewer. A hidden pinhole camera in the frame captures the facial expressions of the onlooker and responds with a range of emotions crafted out of the subtle manipulation of motion cues. An uncanny and playful interaction is formed as expressions are exchanged.

There is also a video documenting how this installation was made:

More Here

meme4u:

great advice

[Silly hoomins. Don't they know birds can't read? Duh.]

22 Words.

[I...I went to sleep last night...I remember that. Then I wake up this morning, and this was in the living room. I wake up in the middle of 'Rule Of Cuteness #07: A thing, accompanied by a smaller version of that thing, is always cute.' What IS this? I'd better go back to sleep.]

“Meet ‘Aunt Pearl,’ our Cocker Spaniel rescue. While she’s not a proper relative to tiny Chihuahua Elsa, she does take on the role of ‘Aunt’ at our house. This is Elsa meeting Aunt Pearl for the first time.” -Christy L.

From The C.O. Mailbag…

“Many thanks for featuring Oskar and Bran! Very proud rat mama here. Just for you, here are some photos of their brother, Franklin, enjoying his burger, fries and Coke. Many hugs to Cute Overload! Frankie O.”

[dontsweatthapetty]