604 citations · 1.4k across the 83 of their papers we have counts for
17 papers · 1 filter
Photometric Depth Super-Resolution
Bjoern Haefner, Songyou Peng, Alok Verma +2
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to t…
DeepWrinkles: Accurate and Realistic Clothing Modeling
Zorah Laehner, Daniel Cremers, Tony Tung
We present a novel method to generate accurate and realistic clothing deformation from real data capture. Previous methods for realistic cloth modeling mainly rely on intensive com…
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras
Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko +2
We propose a novel real-time direct monocular visual odometry for omnidirectional cameras. Our method extends direct sparse odometry (DSO) by using the unified omnidirectional mode…
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
Lingni Ma, Jörg Stückler, Tao Wu +1
Dense pixelwise prediction such as semantic segmentation is an up-to-date challenge for deep convolutional neural networks (CNNs). Many state-of-the-art approaches either tackle th…
LDSO: Direct Sparse Odometry with Loop Closure
Xiang Gao, Rui Wang, Nikolaus Demmel +1
In this paper we present an extension of Direct Sparse Odometry (DSO) to a monocular visual SLAM system with loop closure detection and pose-graph optimization (LDSO). As a direct…
Direct Sparse Odometry with Rolling Shutter
David Schubert, Nikolaus Demmel, Vladyslav Usenko +2
Neglecting the effects of rolling-shutter cameras for visual odometry (VO) severely degrades accuracy and robustness. In this paper, we propose a novel direct monocular VO method t…