3D Object Construction from 2D Images
Purdue University researchers have developed a computer algorithm that takes one 2D image of a 3D object and reconstructs the object. This algorithm uses a minimal amount of data (one 2D image) to produce accurate and reliable reconstructions. Unlike other reconstruction methods, this algorithm minimizes the use of depth cues like shading, texture, motion, and stereo. Instead, reconstruction is performed using symmetry, planarity, and compactness. It is also possible to use this method with either transparent or opaque objects.
Uses a single 2D image Reproduces image constructions with minimal errors Tolerates noise in the original image \Requires less input information compared to previous models
3D Object recognition 3D scene reconstruction Machine vision in manufacturing, unmanned vehicles, and robots
Zygmunt PizloViPER LabPurdue Health and Human Sciences
United States
8,406,567
美国
