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Taking a Deeper Look at the Inverse Compositional Algorithm

Taking a Deeper Look at the Inverse Compositional Algorithm

17 December 2018
Zhaoyang Lv
F. Dellaert
James M. Rehg
Andreas Geiger
    3DV
ArXivPDFHTML

Papers citing "Taking a Deeper Look at the Inverse Compositional Algorithm"

14 / 14 papers shown
Title
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
23
1
0
26 Sep 2023
Theseus: A Library for Differentiable Nonlinear Optimization
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda
Taosha Fan
Maurizio Monge
S. Venkataraman
Paloma Sodhi
...
Austin S. Wang
Stuart Anderson
Jing Dong
Brandon Amos
Mustafa Mukadam
32
76
0
19 Jul 2022
View Birdification in the Crowd: Ground-Plane Localization from
  Perceived Movements
View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
Mai Nishimura
S. Nobuhara
Ko Nishino
49
3
0
09 Nov 2021
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual
  Localization
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization
Mona Gridseth
T. Barfoot
SSL
38
27
0
09 Sep 2021
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Philipp Lindenberger
Paul-Edouard Sarlin
Viktor Larsson
Marc Pollefeys
3DV
31
192
0
18 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization
LEO: Learning Energy-based Models in Factor Graph Optimization
Paloma Sodhi
Eric Dexheimer
Mustafa Mukadam
Stuart Anderson
Michael Kaess
40
16
0
04 Aug 2021
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Yiming Zhao
Xinming Huang
Ziming Zhang
13
55
0
22 Apr 2021
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not
  Good Enough
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough
Zhixiang Min
Enrique Dunn
15
19
0
14 Apr 2021
SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade
  Algorithm on SE(3)
SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade Algorithm on SE(3)
Timo Hinzmann
Roland Siegwart
18
0
0
30 Mar 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose
  Estimation
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
Hugo Germain
Vincent Lepetit
Guillaume Bourmaud
3DV
45
32
0
12 Mar 2021
Unsupervised Metric Relocalization Using Transform Consistency Loss
Unsupervised Metric Relocalization Using Transform Consistency Loss
Mike Kasper
Fernando Nobre
Christoffer Heckman
Nima Keivan
21
6
0
01 Nov 2020
Feature-metric Registration: A Fast Semi-supervised Approach for Robust
  Point Cloud Registration without Correspondences
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences
Xiaoshui Huang
Guofeng Mei
Jian Zhang
3DPC
65
245
0
03 May 2020
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation
  and Gauss-Newton Refinement
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu
Shenghua Gao
3DV
36
218
0
29 Mar 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
71
2,550
0
26 Mar 2020
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