Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...
We propose a methodology for reconstructing large– scale architectural scenes from low–altitude aerial images, in an efficient, accurate and fully automatic way. Towards this...
Adriano B. Huguet, Rodrigo L. Carceroni, Arnaldo d...
This paper presents a segmentation technique to decompose automatically a panoramic range image into a set of planar projections. It consists of three stages. Firstly, two orthogo...
We present a multispectral photometric stereo method for capturing geometry of deforming surfaces. A novel photometric calibration technique allows calibration of scenes containin...
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...