Non-Minimal Sampling and Consensus for Prohibitively Large Datasets
@SeongHunLee1, @patrick_vdwalle, @jcivera
tl;dr: seem like a non-minimal version of RANSAC
https://t.co/rAAl9YDORC
Non-Minimal Sampling and Consensus for Prohibitively Large Datasets
Seong Hun Lee, Patrick Vandewalle, @jcivera
tl;dr: you split (huuuge) tentatives list, and run RANSAC of each. How do you combine winning hypothesis? Truncated Lp cost seems the best.
https://t.co/Zg6GlHGEnp
An Efficient Closed-Form Solution to Full Visual-Inertial State Initialization
@SamuelCerezoo, @SeongHunLee1, @jcivera
tl;dr: in title; not local solver; small-rotation and constant-velocity approximations->analytical solver->VI states
https://t.co/xfUK2nzz1R
P3P Made Easy:
The Perspective-Three-Point (P3P) problem can be reduced to solving a polynomial. But the derivation is usually difficult to follow. We found a surprisingly easy solution that even high school students can understand (+SOTA performance!)
https://t.co/1rVO843avB
In 7 hours, the Korean parliament is going to vote on the motion for impeaching President Yoon. If they fail to pass it (which may actually happen due to the mass delusion of the president's party), most likely we will soon witness a civil war. This insanity must stop now!!
The Korean president is completely delusional and extremely dangerous. The declaration of emergency martial law today was a self-coup. It could've ended really badly. He is not just an idiot, but a delusional one who is willing to destroy and kill for himself and his wife.
Alignment Scores: Robust Metrics for Multiview Pose Accuracy Evaluation
@SeongHunLee1@jcivera
tl;dr: align (independently for translation and rotation) estimated and GT cameras. Do mAA-like histogram thing.
Pretty similar to what we used for IMC2024
https://t.co/cjdIoT9xbG
Feature Splatting shows better generalization than the original Gaussian Splatting for far-away novel view synthesis. We rank 2nd at the ScanNet++ challenge https://t.co/TSz8e0Ovv8 rendering at 82 fps, much faster than most methods in the benchmark including the 1st one
#ConociendoA... @jcivera "El ritmo cada vez más acelerado de las innovaciones hace difícil prever los próximos desafíos"
👨🏻💻Pertenece al Grupo #RoPeRT y le encantaría ir de viaje a Japón, Australia y Argentina🗺
📰 https://t.co/D6vyscFH2s
Young scientists regularly ask me for career advice. Academia or industry? Big company or startup? US or Europe? Good scientists in AI disciplines are fortunate to have many choices. But choosing can be stressful. I always give the same advice. 1/10
Introducing “FlowMap”, the first self-supervised, differentiable structure-from-motion method that is competitive with conventional SfM like Colmap!
https://t.co/ZwJGWfdytQ
IMO this solves a major missing piece for internet-scale training of 3D Deep Learning methods.
1/n
📢A new learning-based approach to SfM: #ACEZero
No img-to-img matching, optimises image-to-scene correspondences directly. Needs no pose priors. Works on unordered image sets. Efficiently handles thousands of images.
Paper: https://t.co/Zc83YpoXpY
Page: https://t.co/kutgb81eFV
✨ Presenting MicKey (#CVPR2024, Oral) ✨
We regress and match 3D camera coordinates rather then 2D key points, all in metric space. Gives you a scaled relative pose between two RGB images.
Paper: https://t.co/y3Ghwg6rM5
Page: https://t.co/DFsB60wH8D
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu
tl;dr: 3D registration->Truncated Entry-wise Absolute Residuals+3D&2D subproblems->tight lower and upper bounds->BnB
https://t.co/5ETIGIEF3Z