Patrick Stotko
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View article: Preconditioned Deformation Grids
Preconditioned Deformation Grids Open
Dynamic surface reconstruction of objects from point cloud sequences is a challenging field in computer graphics. Existing approaches either require multiple regularization terms or extensive training data which, however, lead to compromis…
View article: Preconditioned Deformation Grids
Preconditioned Deformation Grids Open
Dynamic surface reconstruction of objects from point cloud sequences is a challenging field in computer graphics. Existing approaches either require multiple regularization terms or extensive training data which, however, lead to compromis…
View article: ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail Transfer
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail Transfer Open
Reconstructing an object's shape and appearance in terms of a mesh textured by a spatially-varying bidirectional reflectance distribution function (SVBRDF) from a limited set of images captured under collocated light is an ill-posed proble…
View article: NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives
NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Open
While neural radiance fields (NeRF) led to a breakthrough in photorealistic novel view synthesis, handling mirroring surfaces still denotes a particular challenge as they introduce severe inconsistencies in the scene representation. Previo…
View article: TraM‐NeRF: Tracing Mirror and Near‐Perfect Specular Reflections Through Neural Radiance Fields
TraM‐NeRF: Tracing Mirror and Near‐Perfect Specular Reflections Through Neural Radiance Fields Open
Implicit representations like neural radiance fields (NeRF) showed impressive results for photorealistic rendering of complex scenes with fine details. However, ideal or near‐perfectly specular reflecting objects such as mirrors, which are…
View article: FPO++: efficient encoding and rendering of dynamic neural radiance fields by analyzing and enhancing Fourier PlenOctrees
FPO++: efficient encoding and rendering of dynamic neural radiance fields by analyzing and enhancing Fourier PlenOctrees Open
Fourier PlenOctrees have shown to be an efficient representation for real-time rendering of dynamic neural radiance fields (NeRF). Despite its many advantages, this method suffers from artifacts introduced by the involved compression when …
View article: RHINO-VR Experience: Teaching Mobile Robotics Concepts in an Interactive Museum Exhibit
RHINO-VR Experience: Teaching Mobile Robotics Concepts in an Interactive Museum Exhibit Open
In 1997, the very first tour guide robot RHINO was deployed in a museum in Germany. With the ability to navigate autonomously through the environment, the robot gave tours to over 2,000 visitors. Today, RHINO itself has become an exhibit a…
View article: Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators Open
We present incomplete gamma kernels, a generalization of Locally Optimal Projection (LOP) operators. In particular, we reveal the relation of the classical localized L1 estimator, used in the LOP operator for point cloud denoising, to the …
View article: FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees
FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees Open
Fourier PlenOctrees have shown to be an efficient representation for real-time rendering of dynamic Neural Radiance Fields (NeRF). Despite its many advantages, this method suffers from artifacts introduced by the involved compression when …
View article: TraM-NeRF: Tracing Mirror and Near-Perfect Specular Reflections through Neural Radiance Fields
TraM-NeRF: Tracing Mirror and Near-Perfect Specular Reflections through Neural Radiance Fields Open
Implicit representations like Neural Radiance Fields (NeRF) showed impressive results for photorealistic rendering of complex scenes with fine details. However, ideal or near-perfectly specular reflecting objects such as mirrors, which are…
View article: Unified shape and appearance reconstruction with joint camera parameter refinement
Unified shape and appearance reconstruction with joint camera parameter refinement Open
In this paper, we present an inverse rendering method for the simple reconstruction of shape and appearance of real-world objects from only roughly calibrated RGB images captured under collocated point light illumination. To this end, we g…
View article: Efficient 3D Reconstruction, Streaming and Visualization of Static and Dynamic Scene Parts for Multi-client Live-telepresence in Large-scale Environments
Efficient 3D Reconstruction, Streaming and Visualization of Static and Dynamic Scene Parts for Multi-client Live-telepresence in Large-scale Environments Open
Despite the impressive progress of telepresence systems for room-scale scenes with static and dynamic scene entities, expanding their capabilities to scenarios with larger dynamic environments beyond a fixed size of a few square-meters rem…
View article: Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators Open
We present incomplete gamma kernels, a generalization of Locally Optimal Projection (LOP) operators. In particular, we reveal the relation of the classical localized $ L_1 $ estimator, used in the LOP operator for point cloud denoising, to…
View article: Bonn Activity Maps: Dataset Description
Bonn Activity Maps: Dataset Description Open
The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest. Previous datasets are focused on either 3D scene representa…
View article: A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot
A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot Open
Applications like disaster management and industrial inspection often require experts to enter contaminated places. To circumvent the need for physical presence, it is desirable to generate a fully immersive individual live teleoperation e…
View article: Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence
Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence Open
Sharing live telepresence experiences for teleconferencing or remote collaboration receives increasing interest with the recent progress in capturing and AR/VR technology. Whereas impressive telepresence systems have been proposed on top o…
View article: stdgpu: Efficient STL-like Data Structures on the GPU
stdgpu: Efficient STL-like Data Structures on the GPU Open
Tremendous advances in parallel computing and graphics hardware opened up several novel real-time GPU applications in the fields of computer vision, computer graphics as well as augmented reality (AR) and virtual reality (VR). Although the…
View article: SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence
SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence Open
Real-time 3D scene reconstruction from RGB-D sensor data, as well as the exploration of such data in VR/AR settings, has seen tremendous progress in recent years. The combination of both these components into telepresence systems, however,…