Results 261 to 270 of about 1,705,269 (280)

Depth Map Based Pose Estimation

2015
In this chapter, the 6D pose estimation problem is solved using depth maps. Depth maps contain 3D scanner data but saved in a 2D image. This allows for very efficient scene analysis. An approach is described how grasp poses on unknown objects can be computed in real-time allowing for near time optimal grasping.
openaire   +1 more source

Depth Map Recovery Based on a Unified Depth Boundary Distortion Model

IEEE Transactions on Image Processing, 2022
Haotian Wang, Meng Yang, Xuguang Lan
exaly  

Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution

IEEE Transactions on Image Processing, 2019
Chunle Guo, Chong-Yi Li, Run-Min Cong
exaly  

Depth Map Representation

2016
openaire   +1 more source

High-Quality Depth Map Upsampling and Completion for RGB-D Cameras

IEEE Transactions on Image Processing, 2014
Jaesik Park, Yu-Wing Tai, Michael S Brown   +2 more
exaly  

Multi-Scale Frequency Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Network

IEEE Transactions on Circuits and Systems for Video Technology, 2020
Yifan Zuo, Qiang Wu, Yuming Fang
exaly  

Global Sea Floor Topography from Satellite Altimetry and Ship Depth Soundings

Science, 1997
Mario Zampolli
exaly  

Depth Map Estimation Using Defocus and Motion Cues

IEEE Transactions on Circuits and Systems for Video Technology, 2019
Himanshu Kumar, Ajeet Yadav
exaly  

Depth Map Super-Resolution Considering View Synthesis Quality

IEEE Transactions on Image Processing, 2017
Jianjun Lei, Huanjing Yue, Nam Ling
exaly  

Consideration of illumination effects and optimization of window size for accurate calculation of depth map for 3D shape recovery

Pattern Recognition, 2007
Tae-Sun Choi
exaly