) provides a fascinating glimpse into a technology that could eventually reveal an environment from a series of simple portrait photos.
The team used subtle reflections of light captured in human eyes to try to discern the person’s immediate environment. They began with several high-resolution images from a fixed camera position, capturing a moving individual looking toward the camera. They then zoomed in on the reflections, isolating them and calculating where the eyes were looking in the photos.
The results show a decently discernible environmental reconstruction from human eyes in a controlled setting. A scene captured using a synthetic eye produced a more impressive dreamlike scene. However, an attempt to model eye reflections from Miley Cyrus and Lady Gaga music videos only produced vague blobs that the researchers could only guess were an LED grid and a camera on a tripod — illustrating how far the tech is from real-world use.
The team overcame significant obstacles to reconstruct even crude and fuzzy scenes. For example, the cornea introduces “inherent noise” that makes it difficult to separate the reflected light from humans’ complex iris textures. To address that, they introduced cornea pose optimization and iris texture decomposition during training. Finally, radial texture regularization loss helped further isolate and enhance the reflected scenery.
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