My understanding is that, in very rough terms, the Tomasi-Kanade algorithm published in 1992 describes a way to reconstruct the 3D structure of an object from multiple images of that object, given that you have a reliable method of identifying important structural features from the 2D images.
A lack of general information on the topic has prompted me to ask this question: is this method deployed in any recent computer vision systems? Has it been followed up by other methods? Finally, if anyone would like to suggest any resources containing background information that are helpful in digesting the paper, please do. Despite being familiar with the mathematics, I had a hard time making any sense of it.