scholarly journals Sketch-based 3D modeling by aligning outlines of an image

2016 ◽  
Vol 3 (3) ◽  
pp. 286-294 ◽  
Author(s):  
Chunxiao Li ◽  
Hyowon Lee ◽  
Dongliang Zhang ◽  
Hao Jiang
Keyword(s):  
3D Modeling ◽  
Image Features ◽  
Efficient Technique ◽  
Irregular Shapes ◽  
Contour Lines ◽  
Drawing Task ◽  
Starting Point ◽  
Outline Drawing ◽  
Image Contour ◽  
Careful Manipulation

Abstract In this paper we present an efficient technique for sketch-based 3D modeling using automatically extracted image features. Creating a 3D model often requires a drawing of irregular shapes composed of curved lines as a starting point but it is difficult to hand-draw such lines without introducing awkward bumps and edges along the lines. We propose an automatic alignment of a user's hand-drawn sketch lines to the contour lines of an image, facilitating a considerable level of ease with which the user can carelessly continue sketching while the system intelligently snaps the sketch lines to a background image contour, no longer requiring the strenuous effort and stress of trying to make a perfect line during the modeling task. This interactive technique seamlessly combines the efficiency and perception of the human user with the accuracy of computational power, applied to the domain of 3D modeling where the utmost precision of on-screen drawing has been one of the hurdles of the task hitherto considered a job requiring a highly skilled and careful manipulation by the user. We provide several examples to demonstrate the accuracy and efficiency of the method with which complex shapes were achieved easily and quickly in the interactive outline drawing task. Highlights We present an efficient technique for sketch-based 3D modeling using automatically extracted image features. An automatic and real-time method is proposed to align a user's hand-drawn sketch line to the contour lines of an image, facilitating a considerable level of ease for 3D modeling. We use a geometric method to align a sketch line to the outlines of an image using the features of the sketch line and contour lines of an image, and some operations are proposed to refine the result of alignment. In the sketch-based 3D modeling method, the sketch line is represented by a editable spline, therefore, the aligned sketch line can be further adjusted interactively.

Wechselwirkungen in Molekülkristallen, 144. ortho-Benzol-Derivate mit ineinander verzahnten Trimethylsilyl- Substituenten: Strukturvergleich mit Benzol-1,2-disulfonat-Salzen und Rotationsenthalpie-Hyperflächen/ Interactions in Molecular Crystals, 144, ortho-Benzene Derivatives with Meshed Cogwheel Trimethylsilyl Substituents: Structural Comparison with Benzene-1,2-disulfonate Salts and Rotation Enthalpy Hypersurfaces

1998 ◽  
Vol 53 (8) ◽  
pp. 805-815
Author(s):  
Hans Bock ◽  
Norbert Nagel
Keyword(s):  
Room Temperature ◽  
Additional Data ◽  
Benzene Derivatives ◽  
Model Compounds ◽  
General Terms ◽  
Contour Lines ◽  
Starting Point ◽  
Bladed Rotor ◽  
Structural Database ◽  
Structure Correlation

Abstract ortho-Benzene derivatives with adjacent bulky propeller substituents are well-suited model compounds to investigate their potentially coupled rotations. To approach the molecular dynamics of 1,2-bis(trimethylsilyl)benzene, a liquid at room temperature and containing heteroelement substituents, an advantageous starting point are the crystal structures of the stereochemically correspondent benzene-1,2-disulfonate dianion salts. For both the rotations of the synperiplanar three-bladed rotor-groups -SO3⊖ and -Si(CH3)3, PM3-enthalpy hypersurfaces are presented, which suggest only weak interdentate interaction and, concomitantly, only partly coupled intermolecular substituent rotation dynamics. Additional data from the Cambridge Structural Database for silicon organic compounds fit into the contour lines of the enthalpy surface calculated for 1,2-bis(trimethylsilyl)benzene, and the structure correlation with varying distances Si ···Si between the heteroelement centers can be discussed in more general terms of the substituent propeller blade length vs. thickness ratio.

scholarly journals Building age profile and figure-ground image: defining the urban development pattern of Balikpapan City

2021 ◽  
Vol 778 (1) ◽  
pp. 012038
Author(s):  
N A Jordan ◽  
Sherlia ◽  
E D Syafitri
Keyword(s):  
Urban Development ◽  
Urban Form ◽  
Industrial Sector ◽  
Growth Patterns ◽  
Urban Identity ◽  
Irregular Shapes ◽  
Starting Point ◽  
Overlay Technique ◽  
Age Profile ◽  
Urban Pattern

Abstract As one of Indonesian city that emerged from the industrial sector, Balikpapan grew and was inhabited by transmigrates from various cultures. The development and growth patterns of the Balikpapan urban area was influenced by the culture of the residents, due to the absence of empire influence or colonialism. This research was conducted to identify the oldest area as a starting point of the urban development patterns of Balikpapan. The building-age profile method was used to identify the oldest building groups or blocks, which belong to the city’s heritage zone. In this analysis, a series of figure-ground images in several periods were collected to indicate the building age. Through the process of overlaying solid-void maps, the pattern of space-built interaction was generated as the patterns of urban development. Results shown that urban development, which was determined through overlay technique, was organic pattern, which was formed by several connected irregular shapes. The conservation of the urban pattern indicates the effort to achieve urban identity, as one of the sustainable urban form indicator.

scholarly journals Methodology on automatically counting apples by image processing method

2018 ◽  
Vol 25 (03) ◽  
pp. 160-166
Author(s):  
Zhang Qilemuge ◽  
Bolormaa D
Keyword(s):  
Image Processing ◽  
Rapid Development ◽  
High Heat ◽  
Image Features ◽  
Median Filtering ◽  
Modern Agriculture ◽  
Sobel Operator ◽  
Starting Point ◽  
Detection And Counting ◽  
The Subject

With the rapid development of computer technology, modern agriculture gradually moving toward digital, precise and intelligent. Currently, artificial fruits recognition capabilities at home and abroad to identify the actual production cannot meet demand. Thus, people began to explore the principles and methods of using the computer automatically recognizes fruit, fruit recognition has also become a hot research. With traditional computer image recognition technology is the subject of various studies in recent years to a high heat of MATHLAB as a research platform for in globular fruit, put forward a grayscale image features as the starting point, using wavelet de-noising and median filtering combined approach of image preprocessing, in order to make the image Sobel operator edge detection, image-based morphological feature extraction and analysis, and ultimately with the watershed image segmentation methods to achieve target detection and counting. The subject MATHLAB platform leverages the advantages of image processing, optimized and the debugger, you can quickly and accurately analyze the results. Дүрс боловсруулах аргаар алим автоматаар тоолох аргачлал Хураангуй:  Компьютерийн технологийн хурдацтай хөгжлийг дагалдан, орчин үеийн хөдөө аж ахуй өдрөөс өдөрт хөгжиж байна. Өнөө үед хөдөө аж ахуйн салбарт ажиллах хүчин дутмагаас шалтгаалан хүний хүчээр жимс таних тодорхойлоход хүндрэл учирч байгаагаас гадна үйлдвэрлэлийн бодит шаардлагыг хангаж чадахгүй байна. Тиймээс компьютер ашиглан жимсээ автоматаар таниулах аргачлалыг судлаж, оновчтой тогтоох нь судлаач болон үйлдвэрлэгчдийн анхаарал татсан чухал сэдэв болж байна. Энэхүү судалгаанд эрдэм шинжилгээний платформ болох MATHLAB-г ашиглаж байгаа нь уламжлалт компьютерийн дүр төрхийг таних технологийн судалгаанаас давуу талтай. Бөөрөнхий хэлбэртэй жимс жимсгэнэ дээр wavelet denoising болон median filtering-ийг хэрэглэн эхлэлийн цэг болгон ашиглахыг санал болгодог. Энэ хосолсон аргыг дүрслэн боловсруулахад Sobel операторыг ашиглах ба энэ нь дүрсийн ирмэг илрүүлэхэд ашиглагддаг. Watershed зургийн сегментийн арга нь морфологийн дүр төрхөнд суурилан олборлолт, анализ хийх замаар зорилтот түвшинг тодорхойлох, тоолоход ашиглана. Энэхүү судалгаанд дүрсийг өндөр нарийвчлалтай оновчтой боловсруулахдаа MATHLAB платформын давуу талыг бүрэн ашигласан болно. Түлхүүр үг: Дүрс боловсруулах, морфологийн үйл ажиллагаа, усны хагалбарын алгоритм, зураг сегментчилэх

scholarly journals Structural Constructs and Ease Reduction Treatment Interface Related to Cling Fit

2020 ◽  
Vol 20 (1) ◽  
pp. 85-92
Author(s):  
Nithyaprakash Venkatasamy ◽  
Saravanan Dhandapani
Keyword(s):  
Human Body ◽  
3D Modeling ◽  
Three Dimensional ◽  
Surface Profile ◽  
Body Mapping ◽  
Reduction Treatment ◽  
Contour Lines ◽  
Human Body Surface ◽  
The Impact ◽  
Mapping Concept

AbstractGarment cling fit is a proximal fit that emphasizes close clinging contour lines of the apparel maintained by it on the human body in regular postures and while performing primary movements. To understand the nature of interface between ease reduction treatments and structural constructs, three-dimensional (3D) modeling of human body using body mapping concept and ease reduction treatment’s role in explaining the garment strain patterns in cling fit conditions were investigated. We report the impact of ease reduction treatment that defines the proportions and measurements of the cling fit pattern with reference to human body surface profile.

scholarly journals Visual Cortex Inspired Intelligent Contour Detection

2006 ◽  
Vol 10 (5) ◽  
pp. 761-768 ◽  
Author(s):  
Barna Reskó ◽  
◽  
Zoltán Petres ◽  
András Róka ◽  
Péter Baranyi
Keyword(s):  
Visual Cortex ◽  
Complex Network ◽  
Input Image ◽  
Image Features ◽  
Contour Detection ◽  
Constant Time ◽  
Feature Transformation ◽  
Image Contour

The present paper proposes a model for intelligent image contour detection. The model is strongly based on the architecture and functionality of the mammalian visual cortex. A pixel-to-feature transformation is performed on the input image, the result of which is a set of abstract image features, instead of another set of pixels. The contouring task is performed by a vast and complex network of simple units of computation that work together in a parallel way. The use of a large number of such simple units allows a clear structure that can be implemented on a special hardware to allow constant time computation.

A New Fast Similarity Metric Algorithm Based on Contour

2012 ◽  
Vol 562-564 ◽  
pp. 2034-2037
Author(s):  
Jing Jing Wang ◽  
Hong Jun Wang ◽  
Yong Yin
Keyword(s):  
Image Features ◽  
Similarity Metrics ◽  
Higher Dimension ◽  
Laplacian Pyramid ◽  
Illumination Change ◽  
Snake Model ◽  
Similarity Metric ◽  
Image Contour ◽  
Scan Line ◽  
Registration Result

The similarity metric is a key on image registration. This paper divides similarity metric algorithms into two classes: similarity metrics based on pixels (or voxels) and similarity metrics based on image features. For those images that acquired contours easily, this paper proposes a new fast similarity metric arithmetic based on scan line. This algorithm is insensitive to illumination change and is robust without considering gray level of pixels (or voxels). In addition, this arithmetic does not consider all pixels (or voxels) in image, but consider pixels (or voxels) in the range of contour. So it is very simple and fast. It is not only suitable for 2D images but also suitable for higher dimension images. In experiment we use Laplacian pyramid to decompose image and use snake model to detect image contour. Lastly we give a novel registration result.

7-beam lattice images of (110) oriented Ge

1978 ◽  
Vol 36 (1) ◽  
pp. 290-291
Author(s):  
J.R. Parsons ◽  
C.W. Hoelke
Keyword(s):  
Image Features ◽  
Objective Lens ◽  
Lattice Plane ◽  
Lattice Image ◽  
Crystalline Defects ◽  
Transmission Electron ◽  
Lattice Images ◽  
Electron Microscopes ◽  
Structural Aspects ◽  
Beam Lattice

The direct imaging of a crystal lattice has intrigued electron microscopists for many years. What is of interest, of course, is the way in which defects perturb their atomic regularity. There are problems, however, when one wishes to relate aperiodic image features to structural aspects of crystalline defects. If the defect is inclined to the foil plane and if, as is the case with present 100 kV transmission electron microscopes, the objective lens is not perfect, then terminating fringes and fringe bending seen in the image cannot be related in a simple way to lattice plane geometry in the specimen (1).The purpose of the present work was to devise an experimental test which could be used to confirm, or not, the existence of a one-to-one correspondence between lattice image and specimen structure over the desired range of specimen spacings. Through a study of computed images the following test emerged.

Crystal structure images of large gold clusters and growing crystals by HRTEM

1984 ◽  
Vol 42 ◽  
pp. 428-429
Author(s):  
L.R. Wallenberg ◽  
J.-O. Bovin ◽  
G. Schmid
Keyword(s):  
Crystal Structure ◽  
Nucleation And Growth ◽  
Close Packing ◽  
Gold Clusters ◽  
Molecular Weight Determination ◽  
Growth Mechanisms ◽  
Starting Point ◽  
Different Types ◽  
Nucleation And Growth Mechanisms ◽  
Points Of View

Metallic clusters are interesting from various points of view, e.g. as a mean of spreading expensive catalysts on a support, or following heterogeneous and homogeneous catalytic events. It is also possible to study nucleation and growth mechanisms for crystals with the cluster as known starting point.Gold-clusters containing 55 atoms were manufactured by reducing (C6H5)3PAuCl with B2H6 in benzene. The chemical composition was found to be Au9.2[P(C6H5)3]2Cl. Molecular-weight determination by means of an ultracentrifuge gave the formula Au55[P(C6H5)3]Cl6 A model was proposed from Mössbauer spectra by Schmid et al. with cubic close-packing of the 55 gold atoms in a cubeoctahedron as shown in Fig 1. The cluster is almost completely isolated from the surroundings by the twelve triphenylphosphane groups situated in each corner, and the chlorine atoms on the centre of the 3x3 square surfaces. This gives four groups of gold atoms, depending on the different types of surrounding.

High-resolution electron microscopy of the atomic structure of some grain boundaries in Au

1986 ◽  
Vol 44 ◽  
pp. 414-415
Author(s):  
W. Krakow ◽  
D. A. Smith
Keyword(s):  
Atomic Structure ◽  
High Resolution Electron Microscopy ◽  
Image Features ◽  
Image Feature ◽  
Resolution Electron ◽  
Tilt Boundaries ◽  
Processing Techniques ◽  
Atom Position ◽  
Structure Configuration

The successful determination of the atomic structure of [110] tilt boundaries in Au stems from the investigation of microscope performance at intermediate accelerating voltages (200 and 400kV) as well as a detailed understanding of how grain boundary image features depend on dynamical diffraction processes variation with specimen and beam orientations. This success is also facilitated by improving image quality by digital image processing techniques to the point where a structure image is obtained and each atom position is represented by a resolved image feature. Figure 1 shows an example of a low angle (∼10°) Σ = 129/[110] tilt boundary in a ∼250Å Au film, taken under tilted beam brightfield imaging conditions, to illustrate the steps necessary to obtain the atomic structure configuration from the image. The original image of Fig. 1a shows the regular arrangement of strain-field images associated with the cores of ½ [10] primary dislocations which are separated by ∼15Å.

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