From 3D Surface Documentation to Visualization in Forensic Practice: A Review of Current Methods and Emerging Technologies. [PDF]
APMISABSTRACT The accurate documentation of bodies, injuries, death scenes, accidents, and crime scenes is fundamental to forensic investigations. Traditional two‐dimensional (2D) photography and written reports have inherent limitations in representing complex spatial relationships.
Fukuda H +7 more
europepmc +2 more sources
Lattice-Based High-Dimensional Gaussian Filtering and the Permutohedral Lattice [PDF]
, 2016 High-dimensional Gaussian filtering is a popular technique in image processing, geometry processing and computer graphics for smoothing data while preserving important features.
Adams, Andrew +2 more
core +1 more source
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering [PDF]
, 2016 Scene parsing has attracted a lot of attention in computer vision. While parametric models have proven effective for this task, they cannot easily incorporate new training data.
Najafi, Mohammad +3 more
core +2 more sources
GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesRecent advances in Gaussian Splatting (GS) have demonstrated its effectiveness in photo-realistic rendering and 3D reconstruction. Among these, 2D Gaussian Splatting (2DGS) is particularly suitable for surface reconstruction due to its flattened Gaussian
Q. Zhang, O. Wysocki, B. Jutzi
doaj +1 more source
, 2010 In this paper, we present a framework for high quality splatting based on elliptical Gaussian kernels. To avoid aliasing artifacts, we introduce the concept of a resampling filter, combining a reconstruction kernel with a low-pass filter.
Gross, Markus +3 more
core +1 more source
Frequency Analysis of Gradient Estimators in Volume Rendering [PDF]
, 1995 Gradient information is used in volume rendering to classify and color samples along a ray. In this paper, we present an analysis of the theoretically ideal gradient estimator and compare it to some commonly used gradient estimators.
Bentum, Mark J. +2 more
core +4 more sources
Deep Bilateral Learning for Real-Time Image Enhancement [PDF]
, 2017 Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new neural network
Frédo Durand +6 more
core +3 more sources
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2 [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques.
M. Jäger +5 more
doaj +1 more source
04172 Abstracts Collection -- Perspectives Workshop: Visualization and Image Processing of Tensor Fields [PDF]
, 2006 From 18.04.04 to 23.04.04, the Dagstuhl Seminar 04172 ``Perspectives Workshop: Visualization and Image Processing of Tensor Fields\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Hagen, Hans, Weickert, Joachim
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Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
, 2015 Bilateral filters have wide spread use due to their edge-preserving properties. The common use case is to manually choose a parametric filter type, usually a Gaussian filter.
Gehler, Peter V. +2 more
core +1 more source