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View article: LaMAR: Benchmarking Localization and Mapping for Augmented Reality
LaMAR: Benchmarking Localization and Mapping for Augmented Reality Open
Localization and mapping is the foundational technology for augmented reality (AR) that enables sharing and persistence of digital content in the real world. While significant progress has been made, researchers are still mostly driven by …
View article: DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion Open
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 w…
View article: PatchmatchNet: Learned Multi-View Patchmatch Stereo
PatchmatchNet: Learned Multi-View Patchmatch Stereo Open
We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, PatchmatchNet can process higher resolution imagery and is mor…
View article: Privacy Preserving Image-Based Localization
Privacy Preserving Image-Based Localization Open
Image-based localization is a core component of many augmented/mixed reality (AR/MR) and autonomous robotic systems. Current localization systems rely on the persistent storage of 3D point clouds of the scene to enable camera pose estimati…
View article: Real-Time View Correction for Mobile Devices
Real-Time View Correction for Mobile Devices Open
We present a real-time method for rendering novel virtual camera views from given RGB-D (color and depth) data of a different viewpoint. Missing color and depth information due to incomplete input or disocclusions is efficiently inpainted …
View article: Real-Time View Correction for Mobile Devices
Real-Time View Correction for Mobile Devices Open
We present a real-time method for rendering novel virtual camera views from given RGB-D (color and depth) data of a different viewpoint. Missing color and depth information due to incomplete input or disocclusions is efficiently inpainted …