scholarly journals Faithful Euclidean Distance Field From Log-Gaussian Process Implicit Surfaces

2021 ◽  
Vol 6 (2) ◽  
pp. 2461-2468
Author(s):  
Lan Wu ◽  
Ki Myung Brian Lee ◽  
Liyang Liu ◽  
Teresa Vidal-Calleja
Keyword(s):  
Gaussian Process ◽  
Euclidean Distance ◽  
Implicit Surfaces ◽  
Distance Field

scholarly journals Selection of Features on Mining Techniques for Classification

2018 ◽  
Vol 7 (S1) ◽  
pp. 108-111
Author(s):  
Gurrampally Kumar ◽  
S. Mohan ◽  
G. Prabakaran
Keyword(s):  
Feature Selection ◽  
Linear Regression ◽  
Gaussian Process ◽  
Statistical Method ◽  
Correlation Coefficient ◽  
Euclidean Distance ◽  
Experimental Results ◽  
Selection Of

Feature selection has been developed by several mining techniques for classification. Some existing approaches couldn’t remove the irrelevant data from dataset for class. Thus it needs the selection of appropriate features that emphasize its role in classification. For this it consider the statistical method like correlation coefficient to identify the features from feature set whose data are very important for existing classes. The several methods such as Gaussian process, linear regression and Euclidean distance have taken into consideration for clarity of classification. The experimental results reveal that the proposed method identifies the exact relevant features for several classes.

scholarly journals Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration

2020 ◽  
Vol 126 ◽  
pp. 103433
Author(s):  
Gabriela Zarzar Gandler ◽  
Carl Henrik Ek ◽  
Mårten Björkman ◽  
Rustam Stolkin ◽  
Yasemin Bekiroglu
Keyword(s):  
Gaussian Process ◽  
Implicit Surfaces ◽  
Visual Data ◽  
Shape Estimation ◽  
Object Shape

Skeleton-Based Conditionally Independent Gaussian Process Implicit Surfaces for Fusion in Sparse to Dense 3D Reconstruction

2020 ◽  
Vol 5 (2) ◽  
pp. 1532-1539
Author(s):  
Lan Wu ◽  
Raphael Falque ◽  
Victor Perez-Puchalt ◽  
Liyang Liu ◽  
Nico Pietroni ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Gaussian Process ◽  
Implicit Surfaces ◽  
Dense 3D Reconstruction

scholarly journals A Geometric Method for Accelerated Sphere Tracing of Implicit Surfaces

2021 ◽  
Author(s):  
Csaba Bálint ◽  
Mátyás Kiglics
Keyword(s):  
Real Time ◽  
Distance Function ◽  
Implicit Surfaces ◽  
Distance Functions ◽  
Geometric Method ◽  
Signed Distance Function ◽  
Distance Field ◽  
Signed Distance ◽  
Novel Method ◽  
Real Time Applications

Sphere tracing is a common raytracing technique used for rendering implicit surfaces defined by a signed distance function (SDF). However, these distance functions are often expensive to compute, prohibiting several real-time applications despite recent efforts to accelerate it. This paper presents a method to precompute a slightly augmented distance field that hugely accelerates rendering. This novel method called quadric tracing supports two configurations: (i) accelerating raytracing without losing precision, so the original SDF is still needed; (ii) entirely replacing the SDF and tracing an interpolated surface. Quadric tracing can offer 20% to 100% speedup in rendering static scenes and thereby amortizing the slowdown caused by the complexity of the geometry.

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