Search Results for author: Luca Cavalli

Found 9 papers, 5 papers with code

Handcrafted Outlier Detection Revisited

1 code implementation ECCV 2020 Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys

As a result, outlier detection is a fundamental problem in computer vision and a wide range of approaches, from simple checks based on descriptor similarity to geometric verification, have been proposed over the last decades.

Outlier Detection Visual Localization

fMPI: Fast Novel View Synthesis in the Wild with Layered Scene Representations

no code implementations26 Dec 2023 Jonas Kohler, Nicolas Griffiths Sanchez, Luca Cavalli, Catherine Herold, Albert Pumarola, Alberto Garcia Garcia, Ali Thabet

In this study, we propose two novel input processing paradigms for novel view synthesis (NVS) methods based on layered scene representations that significantly improve their runtime without compromising quality.

Novel View Synthesis

RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation

1 code implementation ICCV 2023 Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang

Therefore, RLSAC can avoid differentiating to learn the features and the feedback of downstream tasks for end-to-end robust estimation.

reinforcement-learning

AffineGlue: Joint Matching and Robust Estimation

no code implementations28 Jul 2023 Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys

Moreover, we derive a new minimal solver for homography estimation, requiring only a single affine correspondence (AC) and a gravity prior.

Homography Estimation

Consensus-Adaptive RANSAC

1 code implementation26 Jul 2023 Luca Cavalli, Daniel Barath, Marc Pollefeys, Viktor Larsson

The proposed attention mechanism and one-step transformer provide an adaptive behavior that enhances the performance of RANSAC, making it a more effective tool for robust estimation.

NeFSAC: Neurally Filtered Minimal Samples

1 code implementation16 Jul 2022 Luca Cavalli, Marc Pollefeys, Daniel Barath

We tested NeFSAC on more than 100k image pairs from three publicly available real-world datasets and found that it leads to one order of magnitude speed-up, while often finding more accurate results than USAC alone.

Autonomous Driving Pose Estimation

Learning To Find Good Models in RANSAC

no code implementations CVPR 2022 Daniel Barath, Luca Cavalli, Marc Pollefeys

We propose the Model Quality Network, MQ-Net in short, for predicting the quality, e. g. the pose error of essential matrices, of models generated inside RANSAC.

Pose Estimation

AdaLAM: Revisiting Handcrafted Outlier Detection

3 code implementations7 Jun 2020 Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys

Local feature matching is a critical component of many computer vision pipelines, including among others Structure-from-Motion, SLAM, and Visual Localization.

Key Point Matching Outlier Detection +1

Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics

no code implementations10 Jul 2019 Luca Cavalli, Gianpaolo Di Pietro, Matteo Matteucci

Indeed, we assess the validity of our novel framework both in the context of perfect information, i. e., known object model, and in the partial information context, i. e., inferring task oriented metrics from vision, underlining advantages and limitations of both situations.

Object

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