Belsten and Berkeley neuroscientist Bruno Olshausen demonstrated that the natural world displays a restricted palette of colors that the human brain represents as combinations of only four pure colors. [1]
Biologists and linguists have long puzzled over the universal human tendency to see and name colors as a combination of four pure hues: red, yellow, green, and blue. [2]
Researchers present a direct optimization method for three-dimensional freeform reflectors that transform the light of a finite-étendue source into a prescribed far-field angular intensity distribution. [3]
Most people and most cultures do not perceive red as a combination of orange or purple, whereas they naturally perceive orange as a combination of yellow and red. [4]
The authors parameterize the emission directions in gnomonic coordinates to ensure that every emitted ray intersects the reflector. [5]
The method converges reliably within seconds on a single GPU for all examples tested. [6]
The reflector profile is represented by a small neural network, specifically a multilayer perceptron, which is trained end-to-end through a differentiable ray-tracing objective. [7]
What this stands on
Belsten and Berkeley neuroscientist Bruno Olshausen demonstrated that the natural world displays a restricted palette of colors that the human brain represents as combinations of only four pure colors. · Phys.org
Biologists and linguists have long puzzled over the universal human tendency to see and name colors as a combination of four pure hues: red, yellow, green, and blue. · Phys.org
Researchers present a direct optimization method for three-dimensional freeform reflectors that transform the light of a finite-étendue source into a prescribed far-field angular intensity distribution. · arXiv.org
Most people and most cultures do not perceive red as a combination of orange or purple, whereas they naturally perceive orange as a combination of yellow and red. · Phys.org
The authors parameterize the emission directions in gnomonic coordinates to ensure that every emitted ray intersects the reflector. · arXiv.org
The method converges reliably within seconds on a single GPU for all examples tested. · arXiv.org
The reflector profile is represented by a small neural network, specifically a multilayer perceptron, which is trained end-to-end through a differentiable ray-tracing objective. · arXiv.org
We could not place any of them by their address. None is an official body: that part stands on reporting, not on the underlying document or transcript.
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