The three-volume work Perceiving in Depth is a sequel to Binocular Vision and Stereopsis
and to Seeing in Depth, both by Ian P. Howard and Brian J. Rogers. This work is much …

The appearance of an object depends on both the viewpoint from which it is observed and
the light sources by which it is illuminated. If the appearance of two objects is never identical …

User interfaces in modeling have traditionally followed the WIMP (Window, Icon, Menu,
Pointer) paradigm. Though functional and very powerful, they can also be cumbersome and …

Work on photometric stereo has shown how to recover the shape and reflectance properties
of an object using multiple images taken with a fixed viewpoint and variable lighting …

This paper tackles the task of uncalibrated photometric stereo for 3D object reconstruction,
where both the object shape, object reflectance, and lighting directions are unknown. This is …

This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated
scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a fully …

A fundamental problem for the visual perception of 3D shape is that patterns of optical
stimulation are inherently ambiguous. Recent mathematical analyses have shown, however …

US9001226B1 - Capturing and relighting images using multiple devices - Google Patents
US9001226B1 - Capturing and relighting images using multiple devices - Google Patents …

We propose a generalized equation to represent a continuum of surface reconstruction
solutions of a given non-integrable gradient field. We show that common approaches such …

A critical obstacle preventing NeRF models from being deployed broadly in the wild is their
reliance on accurate camera poses. Consequently, there is growing interest in extending …