Abstract
Donghwan Lee, Soohyun Ryu, Suyong Yeon, Yonghan Lee, Deokhwa Kim, Cheolho Han, Yohann Cabon, Philippe Weinzaepfel, Nicolas Guerin, Gabriela Csurka, Martin Humenberger |
Computer Vision and Pattern Recognition (CVPR 2021), virtual event, 16-25 June, 2021 |
Paper |
Datasets |
Abstract
Estimating the precise location of a camera using visual localization enables interesting applications such as augmented reality or navigation. This is particularly useful in indoor environments where other localization technologies, such as GNSS, fail. Indoor spaces impose interesting challenges on visual localization algorithms: occlusions due to people, textureless surfaces, viewpoint changes might cause large changes in appearance due to close structures, low light, repetitive textures, just to name a few. In order to develop robust algorithms that are able to cope with these challenges, a few indoor datasets were proposed. However, these datasets are either comparably small or do only cover a subset of the mentioned challenges. In this paper, we present 5 new indoor datasets for visual localization in challenging real-world environments. They were captured in a large shopping mall and a large metro station in Seoul, South Korea using a dedicated mapping platform consisting of 10 cameras and 2 laser scanners. In order to compute ground truth camera poses, we developed a robust LiDAR SLAM which provides initial poses that are then refined using a new structure from motion framework especially designed for this purpose. We also present a benchmark of modern visual localization algorithms on these challenging datasets. The datasets will be publicly released to foster future research.
1. Difference in female/male salary: 33/40 points
2. Difference in salary increases female/male: 35/35 points
3. Salary increases upon return from maternity leave: uncalculable
4. Number of employees in under-represented gender in 10 highest salaries: 0/10 points
NAVER France targets (with respect to the 2022 index) are as follows:
En 2022, NAVER France a obtenu les notes suivantes pour chacun des indicateurs :
1. Les écarts de salaire entre les femmes et les hommes: 33 sur 40 points
2. Les écarts des augmentations individuelles entre les femmes et les hommes : 35 sur 35 points
3. Toutes les salariées augmentées revenant de congé maternité : non calculable
4. Le nombre de salarié du sexe sous-représenté parmi les 10 plus hautes rémunérations : 0 sur 10 points
Les objectifs de progression pour l’index 2022 de NAVER France sont :
NAVER LABS Europe 6-8 chemin de Maupertuis 38240 Meylan France Contact
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