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Image segmentation is the initial step for every image analysis task. A large variety of segmentation algorithm has been proposed in the literature during several decades with some mixed success. Among them, the fuzzy energy based active…

Computer Vision and Pattern Recognition · Computer Science 2020-08-04 Ajoy Mondal , Kuntal Ghosh

General skinning techniques aim to deform the surface of an articulated model following the pose change of a skeleton. Their rapidity makes them ideal tools for real-time animation purposes. However, popular skinning algorithms are simple,…

Computational Geometry · Computer Science 2021-06-08 Tong Fu , Raphaëlle Chaine , Julie Digne

Active contours Model (ACM) has been extensively used in computer vision and image processing. In recent studies, Convolutional Neural Networks (CNNs) have been combined with active contours replacing the user in the process of contour…

Computer Vision and Pattern Recognition · Computer Science 2021-05-19 Parastoo Akbari , Atefeh Ziaei , Hamed Azarnoush

In this paper, we introduce a novel parametric method for segmentation of three-dimensional images. We consider a piecewise constant version of the Mumford-Shah and the Chan-Vese functionals and perform a region-based segmentation of 3D…

Computer Vision and Pattern Recognition · Computer Science 2015-06-24 Heike Benninghoff , Harald Garcke

Accurate physical modeling with 3D-printing techniques could lead to new approaches to study structure and dynamics of biological systems complementing computational methods. Computational biology has become an important part of research…

Other Computer Science · Computer Science 2015-07-14 Promita Chakraborty

Automatic extraction of buildings in urban and residential scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly since mid-1990s. Active contour model, colloquially known as snake…

Computer Vision and Pattern Recognition · Computer Science 2020-06-01 Thanh Huy Nguyen , Sylvie Daniel , Didier Gueriot , Christophe Sintes , Jean-Marc Le Caillec

Due to the influence of imaging equipment and complex imaging environments, most images in daily life have features of intensity inhomogeneity and noise. Therefore, many scholars have designed many image segmentation algorithms to address…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jing Zhao

Generating 3D models from face sketches is an active topic of research in Computer Graphics due to its potential to tremendously facilitate the modeling of faces for both professional 3D arists and novices. Motivated by the observation that…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Nancy Iskander

Currently it requires an artist to create 3D human avatars with realistic clothing that can move naturally. Despite progress on 3D scanning and modeling of human bodies, there is still no technology that can easily turn a static scan into…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Qianli Ma , Jinlong Yang , Siyu Tang , Michael J. Black

In this paper, we present a solution for arbitrary 3D character deformation by investigating rotation angle of decomposition and preserving the mesh topology structure. In computer graphics, skeleton extraction and skeleton-driven animation…

Computer Vision and Pattern Recognition · Computer Science 2016-08-18 Hugo Martin , Raphael Fernandez , Yong Khoo

In this paper, we introduce a novel approach for active contours with free endpoints. A scheme is presented for image segmentation and restoration based on a discrete version of the Mumford-Shah functional where the contours can be both…

Computer Vision and Pattern Recognition · Computer Science 2016-04-20 Heike Benninghoff , Harald Garcke

This paper describes an interdisciplinary approach to geometry modeling of geospatial boundaries. The objective is to extract surfaces from irregular spatial patterns using differential geometry and obtain coherent directional predictions…

Computational Engineering, Finance, and Science · Computer Science 2020-06-09 Raymond Leung

Unsupervised machine learning applied to the study of phase transitions is an ongoing and interesting research direction. The active contour model, also called the snake model, was initially proposed for target contour extraction in…

Statistical Mechanics · Physics 2023-07-06 Xiaodong Sun , Huijiong Yang , Nan Wu , T. C. Scott , Jie Zhang , Wanzhou Zhang

Constraining the parameters of physical models with $>5-10$ parameters is a widespread problem in fields like particle physics and astronomy. The generation of data to explore this parameter space often requires large amounts of…

Machine Learning · Computer Science 2019-11-26 Sascha Caron , Tom Heskes , Sydney Otten , Bob Stienen

Shape-programmed sheets morph from one surface into another upon activation by stimuli such as illumination, and have attracted much interest for their potential engineering applications, especially in soft robotics. Complex shape changes…

Soft Condensed Matter · Physics 2024-10-17 Daniel Duffy , Itay Griniasty , John Biggins , Cyrus Mostajeran

The interaction of neural networks with physical equations offers a wide range of applications. We provide a method which enables a neural network to transform objects subject to given physical constraints. Therefore an U-Net architecture…

Artificial Intelligence · Computer Science 2021-03-22 Lukas Harsch , Johannes Burgbacher , Stefan Riedelbauch

The Active Contour Model (ACM) is a standard image analysis technique whose numerous variants have attracted an enormous amount of research attention across multiple fields. Incorrectly, however, the ACM's differential-equation-based…

Computer Vision and Pattern Recognition · Computer Science 2019-10-08 Ali Hatamizadeh , Debleena Sengupta , Demetri Terzopoulos

Soft robotic snakes made of compliant materials can continuously deform their bodies and, therefore, mimic the biological snakes' flexible and agile locomotion gaits better than their rigid-bodied counterparts. Without wheel support, to…

This paper proposes a novel method for high-quality image segmentation of both objects and scenes. Inspired by the dilation and erosion operations in morphological image processing techniques, the pixel-level image segmentation problems are…

Computer Vision and Pattern Recognition · Computer Science 2021-12-15 Hao He , Xiangtai Li , Yibo Yang , Guangliang Cheng , Yunhai Tong , Lubin Weng , Zhouchen Lin , Shiming Xiang

Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing - one of the core aspects of human self-expression - remains an open challenge. State-of-the-art physical simulation methods can generate…