Concept

Image rectification

Related publications (117)

Event-Based Motion Segmentation by Motion Compensation

In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond resolution. Sin ...

2019

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion

Jean-Philippe Thiran, Mohammad Saeed Rad

Despite well-established baselines, learning of scene depth and ego-motion from monocular video remains an ongoing challenge, specifically when handling scaling ambiguity issues and depth inconsistencies in image sequences. Much prior work uses either a su ...

IEEE COMPUTER SOC2019

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Karl Aberer, Rémi Philippe Lebret, Alireza Mohammadshahi

In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages. We combine two existing objective functions to make images and captions close in a joint embedding space ...

Association for Computational Linguistics2019

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

François Fleuret, Anton Ivanov, Stepan Tulyakov

End-to-end deep-learning networks recently demonstrated extremely good performance for stereo matching. However, existing networks are difficult to use for practical applications since (1) they are memory-hungry and unable to process even modest-size image ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Tracking Skyrmion Motion with matlab

This TP IV report presents a new particle tracking method including the preliminary treatment of material, the image alignment, the identification of the particles and the tracking. This method is applied on gray scale image sequences and the tracking code ...

2018

Spatial Encoding of Translational Optic Flow in Planar Scenes by Elementary Motion Detector Arrays

Dario Floreano, Julien Jean Denis Nicolas Lecoeur, Emily Baird

Elementary Motion Detectors (EMD) are well-established models of visual motion estimation in insects. The response of EMDs are tuned to specific temporal and spatial frequencies of the input stimuli, which matches the behavioural response of insects to wid ...

2018

A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth and Optical Flow Estimation

Davide Scaramuzza

We present a unifying framework to solve several computer vision problems with event cameras: motion, depth and optical flow estimation. The main idea of our framework is to find the point trajectories on the image plane that are best aligned with the even ...

2018

A new objective metric to predict image quality using deep neural networks

Touradj Ebrahimi, Pinar Akyazi

Quality assessment of images is of key importance for media applications. In this paper we present a new objective metric to predict the quality of images using deep neural networks. The network makes use of both the color information as well as frequency ...

2018

Wide-Baseline Foreground Object Interpolation Using Silhouette Shape Prior

Pascal Frossard, Christophe De Vleeschouwer, Thomas Maugey

We consider the synthesis of intermediate views of an object captured by two widely spaced and calibrated cameras. This problem is challenging because foreshortening effects and occlusions induce significant differences between the reference images when th ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Wide-baseline object interpolation using shape prior regularization of epipolar plane images

Pascal Frossard, Christophe De Vleeschouwer, Thomas Maugey

This paper considers the synthesis of intermediate views of an object captured by two calibrated and widely spaced cameras. Based only on those two very different views, our paper proposes to reconstruct the object Epipolar Plane Image Volume [1] (EPIV), w ...

2017

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