Regular reflection images8/30/2023 ![]() Regular reflection (specular reflection) and irregular reflection (diffuse reflection) Reflection of the subject is checked hereinafter. Here I would like to check the reflection of the subject. Light from the subject, as the secondary light source, is condensed and imaged through the lens. In case of reflective light, light from the light source is reflected by the subject. In a more mundane situation, like a Zoom call or a series of selfie posts, the lighting might be more conducive to gathering information on the surroundings.In order to take images with the camera, the light from the subject must be imaged on the image sensor. In both music video scenarios tested, the rockstar subject is likely the only thing in the studio being well-lit, as the lights, camera and action are all about them. In Lady Gaga's eye, there is what could be interpreted as a camera on a tripod, but the image is unclear. The Miley Cyrus eye image appears to be of an LED grid light, which would be fitting as she is shedding a tear in the video and staring into a bright light might be helping to achieve the desired effect. In a more idealized synthetic test utilizing a fake eye before a digital image, a more obvious image was achieved with improved resolution of the 3D mapping.Ī third test applied the method to captured eye reflection images from music videos by Miley Cyrus and Lady Gaga in an attempt to reconstruct what they are observing while filming their videos. In testing the method on a human eye, a very modest resolution rendering of the image is seen, but in a depth-mapped 3D rendering. The imaged person was asked to move about within the camera's field of view as multiple images were captured. Despite subtle inaccuracies in cornea location and geometry estimates, the method was effective in scene reconstruction.Īrea lights placed by the person's sides (out of frame) were used to illuminate the object of interest in front of them. This also allows the camera's angle to be determined, plotting the coordinates of images over the curved geometry and setting a viewing direction for the NeRF AI to use later to reconstruct the 3D rendering. To remove the iris from the images, texture decomposition was performed by training a 2D texture map that learns the iris texture and deletes it.Įxploiting cornea geometry, which is approximately the same across all adults, computations were made to track exactly where their eyes are looking. Within the image are all sorts of artifacts of the eye, the complexity of iris textures, and the identifiable yet low-resolution reflections captured in each image. ![]() Zooming in on the reflection in the imaged person's eye, a mirror image of the field of view is visible, and objects in the area are identifiable. In the current effort by the Maryland team, they start with multiple images from a high-resolution camera in a fixed position, focused on an individual in motion looking towards the camera, framed much as a passport or driver's license photo might be. Typically with a few dozen still images at different angles, NeRF can generate a 3D representation with enough depth and detail to be almost indistinguishable from a video that can move around an object or space. In a paper on the pre-print server arXiv, titled "Seeing the World through Your Eyes," the team describes the methods used to capture the eye reflections and transform them into coherent 3D renderings using a specially trained AI visual rendering algorithm called NeRF.Ī neural radiance field (NeRF) is an AI neural network that can generate novel continuous views of complex 3D scenes based on multiple 2D images. Researchers at the University of Maryland were able to capture this reflected light and extract a three-dimensional model of the surroundings.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |