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Automatic 3D reconstruction of manifold meshes via delaunay triangulation and mesh sweeping
(2016)2016 IEEE Winter Conference on Applications of Computer Vision (WACV)In this paper we propose a new approach to incrementally initialize a manifold surface for automatic 3D reconstruction from images. More precisely we focus on the automatic initialization of a 3D mesh as close as possible to the final solution; indeed many approaches require a good initial solution for further refinement via multi-view stereo techniques. Our novel algorithm automatically estimates an initial manifold mesh for surface ...Conference Paper -
Image-to-image translation for enhanced feature matching, image retrieval and visual localization
(2019)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe performance of machine learning and deep learning algorithms for image analysis depends significantly on the quantity and quality of the training data. The generation of annotated training data is often costly, time-consuming and laborious. Data augmentation is a powerful option to overcome these drawbacks. Therefore, we augment training data by rendering images with arbitrary poses from 3D models to increase the quantity of training ...Conference Paper -
Augmenting crowd-sourced 3D reconstructions using semantic detections
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionImage-based 3D reconstruction for Internet photo collections has become a robust technology to produce impressive virtual representations of real-world scenes. However, several fundamental challenges remain for Structure-from-Motion (SfM) pipelines, namely: the placement and reconstruction of transient objects only observed in single views, estimating the absolute scale of the scene, and (suprisingly often) recovering ground surfaces in ...Conference Paper -
Semantic Visual Localization
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionRobust visual localization under a wide range of viewing conditions is a fundamental problem in computer vision. Handling the difficult cases of this problem is not only very challenging but also of high practical relevance, e.g., in the context of life-long localization for augmented reality or autonomous robots. In this paper, we propose a novel approach based on a joint 3D geometric and semantic understanding of the world, enabling it ...Conference Paper -
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionWe seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a new large-scale visual localization method targeted for indoor environments. The method proceeds along three steps: (i) efficient retrieval of candidate poses that ensures scalability to large-scale environments, (ii) pose estimation using dense matching ...Conference Paper -
Class Specific 3D Object Shape Priors Using Surface Normals
(2014)Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper -
Automatic Registration of RGB-D Scans via Salient Directions
(2013)Proceedings : 2013 IEEE International Conference on Computer Vision ICCV 2013 : 1-8 December 2013. Sydney, NSW, AustraliaConference Paper -
Multi-Label Semantic 3D Reconstruction using Voxel Blocks
(2016)2016 Fourth International Conference on 3D Vision (3DV)Conference Paper -
Finding the exact rotation between two images independently of the translation
(2012)Conference Paper -
Toward automated driving in cities using close-to-market sensors
(2013)Proceedings of 2013 IEEE Intelligent Vehicles Symposium (IV)Conference Paper