Tag: graphics

Brain Compression

The visual cortex suppresses redundant information and saves energy by frequently forwarding image differences similar to methods used for video data compression.

we have now demonstrated that the visual cortex suppresses redundant information and saves energy by frequently forwarding image differences

2015-03-13: That’s clever visual cortex hacking.

“These GIFs use depth of field and graphic elements to achieve their effect, just like many classic paintings. The white lines define the plane where the screen is, creating a mental division between background, midplane and foreground. Combined with the camera’s depth of field blur, it tricks our brain into thinking that things are popping out of the screen.”


2022-02-18: Visual Stability

Despite a noisy and ever-changing visual world, our perceptual experience seems remarkably stable over time. How does our visual system achieve this apparent stability? Here, we introduce a previously unknown visual illusion that shows direct evidence for an online mechanism continuously smoothing our percepts over time. As a result, a continuously seen physically changing object can be misperceived as unchanging. We find that online object appearance is captured by past visual experience up to 15 seconds ago. We propose that, because of an underlying active mechanism of serial dependence, the representation of the object is continuously merged over time, and the consequence is an illusory stability in which object appearance is biased toward the past. Our results provide a direct demonstration of the link between serial dependence in visual representations and perceived visual stability in everyday life.

Relational social image search

the search tool uses the locations of tagged persons to quantify relationships between them, even those not tagged in any given photo. Imagine you and your mother are pictured together, building a sandcastle at the beach. You’re both tagged in the photo quite close together. In the next photo, you and your father are eating watermelon. You’re both tagged. Because of your close ‘tagging’ relationship with both your mother in the first picture and your father in the second, the algorithm can determine that a relationship exists between those 2 and quantify how strong it may be.

CV Dazzle

CV Dazzle is camouflage from computer vision (CV). It is a form of expressive interference that combines makeup and hair styling (or other modifications) with face-detection thwarting designs. The name is derived from a type of camouflage used during WWI, called Dazzle, which was used to break apart the gestalt-image of warships, making it hard to discern their directionality, size, and orientation. Likewise, the goal of CV Dazzle is to break apart the gestalt of a face, or object, and make it undetectable to computer vision algorithms, in particular face detection.

Foiling face detection.
2019-10-15: There’s also an IR version:

the key idea is to shine infrared light onto your face, in such a way that facial recognition systems are fooled. A small number of LEDs hidden in e.g. a cap turn out to be plenty good enough for this.

Camera 2.0

now they only need to use a viable platform and this could have legs. nokia n900, really?

Over the past 5 years, the cameras in cell phones have improved dramatically in resolution, optical quality, and photographic functionality. Camera phones offer features that dedicated cameras do not: wireless connectivity, a high-resolution display, 3D graphics, and high-quality audio. Finally and perhaps most importantly, these platforms run real operating systems, which vendors have begun opening to third-party developers. We have therefore begun developing computational photography applications for commercial cell phones