  Computer-Generated Holography (CGH) offers the potential for genuine,
high-quality three-dimensional visuals. However, fulfilling this potential
remains a practical challenge due to computational complexity and visual
quality issues. We propose a new CGH method that exploits gaze-contingency and
perceptual graphics to accelerate the development of practical holographic
display systems. Firstly, our method infers the user's focal depth and
generates images only at their focus plane without using any moving parts.
Second, the images displayed are metamers; in the user's peripheral vision,
they need only be statistically correct and blend with the fovea seamlessly.
Unlike previous methods, our method prioritises and improves foveal visual
quality without causing perceptually visible distortions at the periphery. To
enable our method, we introduce a novel metameric loss function that robustly
compares the statistics of two given images for a known gaze location. In
parallel, we implement a model representing the relation between holograms and
their image reconstructions. We couple our differentiable loss function and
model to metameric varifocal holograms using a stochastic gradient descent
solver. We evaluate our method with an actual proof-of-concept holographic
display, and we show that our CGH method leads to practical and perceptually
three-dimensional image reconstructions.
