24 papers · ranked by Valyu relevance
Arianna Salili‐James, Anne Mackay, Emilio Rodríguez-Álvarez, Diana Rodríguez Pérez + 11 more
'Diana Rodríguez Pérez' 'Thomas Mannack' 'Timothy A. Rawlings' 'A. Richard Palmer' 'Jonathan A. Todd' 'Terhi Riutta' 'Cate Macinnis‐Ng' 'Zhitong Han' 'Megan Davies' 'Zinnia Thorpe' 'Stephen Marsland' 'Armand M. Leroi'] aDepartment of Mathematics, Brunel University London, Uxbridge, UB8 3PH, UK; bSchool of Humanities…
Min Ho Cho, Sebastian Kurtek, Steven N. MacEachern
The classification of shapes is of great interest in diverse areas ranging from medical imaging to computer vision and beyond. While many statistical frameworks have been developed for the classification problem, most are strongly tied to early formulations of the problem - with an object to be classified described as…
Arianna Salili-James, Anne Mackay, Emilio Rodriguez-Alvarez, Diana Rodriguez-Perez + 11 more
'Diana Rodriguez-Perez' 'Thomas Mannack' 'Timothy A. Rawlings' 'A. Richard Palmer' 'Jonathan Todd' 'Terhi E. Riutta' 'Cate Macinnis-Ng' 'Zhitong Han' 'Megan Davies' 'Zinnia Thorpe' 'Stephen Marsland' 'Armand M. Leroi'] We often wish to classify objects by their shapes. Indeed, the study of shapes is an important part…
Thomai Tsiftsi
In this paper, we describe a novel shape classification method which is embedded in the Bayesian paradigm. We discuss the modelling and the arisen shape classification algorithm for two and three dimensional data shapes. We conclude by evaluating the efficiency and efficacy of the proposed algorithm on the Kimia shape…
B. H. Shekar, Bharathi Pilar
—In this paper, we present a decision level fused local Morphological Pattern Spectrum(PS) and Local Binary Pattern (LBP) approach for an efficient shape representation and classification. This method makes use of Earth Movers Distance(EMD) as the measure in feature matching and shape retrieval process. The proposed…
Fotini Fotopoulou, Spiros Oikonomou, Αναστασία Παπαθανασίου, George Economou + 1 more
'George Economou' 'Spiros Fotopoulos'] A novel 3D shape classification scheme, based on collaborative representation learning, is investigated in this work. A data-driven feature-extraction procedure, taking the form of a simple projection operator, is in the core of our methodology. Provided a shape database, a graph…
Subin Ham, Changro Lee, Narendra Khatri
In the agriculture and real estate industries, land lot shapes have mostly been classified by visual inspection or hard-crafted rules. These conventional methods are time-consuming, resource-intensive, and subject to human bias. This study aims to fill this gap and alleviate problems inherent in traditional lot…
Kira I. Dehn, Guido Maiello, Frieder T. Hartmann, Yaniv Morgenstern + 6 more
Humans excel at categorizing objects by shape. This facility involves identifying shape features that objects have in common with other members of their class and relies—at least in part—on semantic/cognitive constructs. For example, plants sprout branches, fish grow fins, shoes are molded to our feet. Can humans parse…
Suzana Veljanovska, Hans Dermot Doran
—Symbolic Aggregate approXimation (SAX) is a common dimensionality reduction approach for timeseries data which has been employed in a variety of domains, including classification and anomaly detection in time-series data. Domains also include shape recognition where the shape outline is converted into time-series data…
Kazuma Matsuyama, Takahiro Shimizu, Takeo Kato, Stéphane Puechmorel + 1 more
'Florence Nicol'] Generative design is a system that automates part of the design process, but it cannot evaluate psychological issues related to shapes, such as “beauty” and “liking”. Designers therefore evaluate and choose the generated shapes based on their experience. Among the design features, “complexity” is…
Henning Tiedemann, Yaniv Morgenstern, Filipp Schmidt, Roland W Fleming
Humans have the striking ability to learn and generalize new visual concepts from just a single exemplar. We suggest that when presented with a novel object, observers identify its significant features and infer a generative model of its shape, allowing them to mentally synthesize plausible variants. To test this, we…
James T. Todd, Alexander A. Petrov
Shape is an interesting property of objects because it is used in ordinary discourse in ways that seem to have little connection to how it is typically defined in mathematics. The present article describes how the concept of shape can be grounded within Euclidean and non-Euclidean geometry and also to human perception.…
William Pilcher, Xingyu Yang, Anastasia Zhurikhina, Olga Chernaya + 3 more
With the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these images. One of the challenges in providing such methodology is the need for…
Jamil Ahmad, Muhammad Sajjad, Irfan Mehmood, Seungmin Rho + 1 more
'Sung Wook Baik'] Visual media has always been the most enjoyed way of communication. From the advent of television to the modern day hand held computers, we have witnessed the exponential growth of images around us. Undoubtedly it's a fact that they carry a lot of information in them which needs be utilized in an…
Gunnar Schmidtmann, Nicholas Baker, Kevin J. Lande, Filipp Schmidt
Physiological and psychophysical evidence suggests that the visual system represents object outlines using prominent curvature features, particularly regions of extreme curvature (convex maxima and concave minima). These curvature extrema often coincide with points of high informational content (“surprisal”), but this…
Jorge Victorino, Francisco Gómez
Background The categorical description of leaf shapes is of paramount importance in ecology, taxonomy and paleobotanical studies. Classification systems proposed by domain experts support these descriptions. Despite the importance of these visual descriptive systems, classifications based on this expert’s knowledge may…
Casper van Bavel, Wim Thiels, Rob Jelier
The shape of a cell reflects, among other things, actomyosin activity and adhesion properties. Cell shape is further tightly linked to cell differentiation and can reveal important cellular behaviors such as polarization. Hence, it is useful and informative to link cell shape to genetic and other perturbations.…
Zhong Liu, Changchen Zhao, Xingming Wu, Weihai Chen + 1 more
'Fabrizio Lamberti'] RGB-D sensors have been widely used in various areas of computer vision and graphics. A good descriptor will effectively improve the performance of operation. This article further analyzes the recognition performance of shape features extracted from multi-modality source data using RGB-D sensors. A…
Emily T. Winn-Nuñez, Hadley Witt, Dhananjay Bhaskar, Ryan Y. Huang + 3 more
Understanding morphological variation is an important task in many areas of computational biology. Recent studies have focused on developing computational tools for the task of sub-image selection which aims at identifying structural features that best describe the variation between classes of shapes. A major part in…
Jie Lin, Mingyuan Xu, Hongming Chen
Shape-based virtual screening is a widely utilized method in ligand-based de novo drug design, aiming to identify molecules in chemical libraries that share similar 3D shapes but simultaneously possess novel 2D chemical structures compared to the reference compound. As an emerging technology, generative model is an…
Rasha Atwi, Ye Wang, Simone Sciabola, Adam Antoszewski
Efficient virtual screening techniques are critical in drug discovery for identifying potential drug candidates. We present an open-source package for molecular alignment and 3D similarity calculations optimized for large-scale virtual screening of small molecules. This work parallels widely used proprietary tools and…
Christopher J. Kingsbury, Mathias O. Senge
We imagine molecules to be perfect, but rigidified units can be designed to bend from their ideal shape, discarding their symmetric elements as they process through vibrations and larger, more permanent distortions. The shape of molecules is either simulated or measured by crystallography and strongly affects chemical…
Jiajun Zhou, Austin Mroz, Kim Jelfs
Porous organic cages (POCs) are a class of porous molecular materials characterised by their tunable, intrinsic porosity; this functional property makes them candidates for applications including guest storage and separation. Typically formed via dynamic covalent chemistry reactions from multifunctionalised molecular…
Authors not listed
This article presents an overview about the state of the art in the development of structured packings for distillation applications. The focus is on highlighting different approaches including heuristic development cycles, the development of new packing structures, 3D-printing as tool for manufacturing, and…