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To Learn or Not to Learn: Visual Localization from Essential Matrices
(2020)2020 IEEE International Conference on Robotics and Automation (ICRA)Visual localization is the problem of estimating a camera within a scene and a key technology for autonomous robots. State-of-the-art approaches for accurate visual localization use scene-specific representations, resulting in the overhead of constructing these models when applying the techniques to new scenes. Recently, learned approaches based on relative pose estimation have been proposed, carrying the promise of easily adapting to new ...Conference Paper -
Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization
(2016)2016 Fourth International Conference on 3D Vision (3DV)Conference Paper -
Articulated and Restricted Motion Subspaces and Their Signatures
(2013)2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013) : Portland, Oregon, USA, 23 - 28 June 2013 ; proceedingsConference Paper -
Real-time and low latency embedded computer vision hardware based on a combination of FPGA and mobile CPU
(2014)IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014 : 14 - 18 Sept. 2014, Chicago, IllinoisConference Paper -
Closing the Loop in Appearance-Guided Structure-from-Motion for Omnidirectional Cameras
(2008)Conference Paper -
Rolling Shutter Stereo
(2013)Proceedings : 2013 IEEE International Conference on Computer Vision ICCV 2013 : 1-8 December 2013. Sydney, NSW, AustraliaConference Paper -
3D Reconstruction of architectural scenes from uncalibrated video sequences
(2009)International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn this paper we present a system for three-dimensional reconstruction of architectural scenes from uncalibrated videos. These videosmight be recorded using hand-held cameras, downloaded from the internet or taken from archival sources. Because we do not requireprior knowledge of the camera’s internal parameters such as focal length, center of projection, and radial distortion we can deal withvideos from uncontrolled sources. We present ...Conference Paper -
Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints
(2009)2009 IEEE 12th International Conference on Computer VisionConference Paper -
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the current time step in an efficient and geometrically plausible way. The backbone of our approach is a real-time capable, lightweight encoder-decoder that relies on cost volumes computed from pairs of images. We extend it by placing a ConvLSTM cell at the bottleneck ...Conference Paper -
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Many computer vision systems require users to upload image features to the cloud for processing and storage. These features can be exploited to recover sensitive information about the scene or subjects, e.g., by reconstructing the appearance of the original image. To address this privacy concern, we propose a new privacy-preserving feature representation. The core idea of our work is to drop constraints from each feature descriptor by ...Conference Paper