501 citations · 829 across the 10 of their papers we have counts for
14 papers · 1 filter
Generating Topological Structure of Floorplans from Room Attributes
Yin Yu, Hutchcroft Will, Khosravan Naji +3
Analysis of indoor spaces requires topological information. In this paper, we propose to extract topological information from room attributes using what we call Iterative and adapt…
PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
Haiyan Wang, Will Hutchcroft, Yuguang Li +4
In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas. Our system, called Position-aware Stereo Merging Network or PSM…
Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch, Ce Liu, Sing Bing Kang
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods…
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch, Ce Liu, Sing Bing Kang
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods…
Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang +1
Many 3D vision systems localize cameras within a scene using 3D point clouds. Such point clouds are often obtained using structure from motion (SfM), after which the images are dis…
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights
Zhang Chen, Yu Ji, Mingyuan Zhou +2
We present a new color photometric stereo (CPS) method that recovers high quality, detailed 3D face geometry in a single shot. Our system uses three uncalibrated near point lights…