Relevant bibliographies by topics / Image structure representation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Image structure representation'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Image structure representation"

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Chen, Yuhao, Alexander Wong, Yuan Fang, Yifan Wu, and Linlin Xu. "Deep Residual Transform for Multi-scale Image Decomposition." Journal of Computational Vision and Imaging Systems 6, no. 1 (2021): 1–5. http://dx.doi.org/10.15353/jcvis.v6i1.3537.

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Multi-scale image decomposition (MID) is a fundamental task in computer vision and image processing that involves the transformation of an image into a hierarchical representation comprising of different levels of visual granularity from coarse structures to fine details. A well-engineered MID disentangles the image signal into meaningful components which can be used in a variety of applications such as image denoising, image compression, and object classification. Traditional MID approaches such as wavelet transforms tackle the problem through carefully designed basis functions under rigid de
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RIZO-RODRÍGUEZ, DAYRON, HEYDI MÉNDEZ-VAZQUEZ, and EDEL GARCÍA-REYES. "ILLUMINATION INVARIANT FACE RECOGNITION IN QUATERNION DOMAIN." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 03 (2013): 1360004. http://dx.doi.org/10.1142/s0218001413600045.

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The performance of face recognition systems tends to decrease when images are affected by illumination. Feature extraction is one of the main steps of a face recognition process, where it is possible to alleviate the illumination effects on face images. In order to increase the accuracy of recognition tasks, different methods for obtaining illumination invariant features have been developed. The aim of this work is to compare two different ways to represent face image descriptions in terms of their illumination invariant properties for face recognition. The first representation is constructed
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Fu, Y., Y. Ye, G. Liu, B. Zhang, and R. Zhang. "ROBUST MULTIMODAL IMAGE MATCHING BASED ON MAIN STRUCTURE FEATURE REPRESENTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 583–89. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-583-2020.

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Abstract. Image matching is a crucial procedure for multimodal remote sensing image processing. However, the performance of conventional methods is often degraded in matching multimodal images due to significant nonlinear intensity differences. To address this problem, this letter proposes a novel image feature representation named Main Structure with Histogram of Orientated Phase Congruency (M-HOPC). M-HOPC is able to precisely capture similar structure properties between multimodal images by reinforcing the main structure information for the construction of the phase congruency feature descr
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WANG, ZHIYONG, ZHERU CHI, DAGAN FENG, and AH CHUNG TSOI. "CONTENT-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK USING ADAPTIVE PROCESSING OF TREE-STRUCTURE IMAGE REPRESENTATION." International Journal of Image and Graphics 03, no. 01 (2003): 119–43. http://dx.doi.org/10.1142/s0219467803000944.

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Content-based image retrieval has become an essential technique in multimedia data management. However, due to the difficulties and complications involved in the various image processing tasks, a robust semantic representation of image content is still very difficult (if not impossible) to achieve. In this paper, we propose a novel content-based image retrieval approach with relevance feedback using adaptive processing of tree-structure image representation. In our approach, each image is first represented with a quad-tree, which is segmentation free. Then a neural network model with the Back-
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Yu, Siquan, Jiaxin Liu, Zhi Han, Yong Li, Yandong Tang, and Chengdong Wu. "Representation Learning Based on Autoencoder and Deep Adaptive Clustering for Image Clustering." Mathematical Problems in Engineering 2021 (January 9, 2021): 1–11. http://dx.doi.org/10.1155/2021/3742536.

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Image clustering is a complex procedure, which is significantly affected by the choice of image representation. Most of the existing image clustering methods treat representation learning and clustering separately, which usually bring two problems. On the one hand, image representations are difficult to select and the learned representations are not suitable for clustering. On the other hand, they inevitably involve some clustering step, which may bring some error and hurt the clustering results. To tackle these problems, we present a new clustering method that efficiently builds an image repr
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CHEN, XIAOWU, BIN ZHOU, FANG XU, and QINPING ZHAO. "AUTOMATIC IMAGE COMPLETION WITH STRUCTURE PROPAGATION AND TEXTURE SYNTHESIS." International Journal of Software Engineering and Knowledge Engineering 20, no. 08 (2010): 1097–117. http://dx.doi.org/10.1142/s0218194010005055.

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In this paper, we present a novel automatic image completion solution in a greedy manner inspired by a primal sketch representation model. Firstly, an image is divided into structure (sketchable) components and texture (non-sketchable) components, and the missing structures, such as curves and corners, are predicted by tensor voting. Secondly, the textures along structural sketches are synthesized with the sampled patches of some known structure components. Then, using the texture completion priorities decided by the confidence term, data term and distance term, the similar image patches of so
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Li, Wei, Yuxiang Zhang, Na Liu, Qian Du, and Ran Tao. "Structure-Aware Collaborative Representation for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing 57, no. 9 (2019): 7246–61. http://dx.doi.org/10.1109/tgrs.2019.2912507.

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Li, Zhao, Le Wang, Tao Yu, and Bing Liang Hu. "Image Super-Resolution via Low-Rank Representation." Applied Mechanics and Materials 568-570 (June 2014): 652–55. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.652.

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This paper presents a novel method for solving single-image super-resolution problems, based upon low-rank representation (LRR). Given a set of a low-resolution image patches, LRR seeks the lowest-rank representation among all the candidates that represent all patches as the linear combination of the patches in a low-resolution dictionary. By jointly training two dictionaries for the low-resolution and high-resolution images, we can enforce the similarity of LLRs between the low-resolution and high-resolution image pair with respect to their own dictionaries. Therefore, the LRR of a low-resolu
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Dong, Bin, Songlei Jian, and Kai Lu. "Learning Multimodal Representations by Symmetrically Transferring Local Structures." Symmetry 12, no. 9 (2020): 1504. http://dx.doi.org/10.3390/sym12091504.

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Multimodal representations play an important role in multimodal learning tasks, including cross-modal retrieval and intra-modal clustering. However, existing multimodal representation learning approaches focus on building one common space by aligning different modalities and ignore the complementary information across the modalities, such as the intra-modal local structures. In other words, they only focus on the object-level alignment and ignore structure-level alignment. To tackle the problem, we propose a novel symmetric multimodal representation learning framework by transferring local str
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Berg, A. P., and W. B. Mikhael. "An efficient structure and algorithm for image representation using nonorthogonal basis images." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 44, no. 10 (1997): 818–28. http://dx.doi.org/10.1109/82.633439.

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Dissertations / Theses on the topic "Image structure representation"

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Noble, Julia Alison. "Descriptions of image surfaces." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238117.

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Yeh, Hur-jye. "3-D reconstruction and image encoding using an efficient representation of hierarchical data structure /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu148732651171353.

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Jeong, Ki Tai. "A Common Representation Format for Multimedia Documents." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3336/.

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Multimedia documents are composed of multiple file format combinations, such as image and text, image and sound, or image, text and sound. The type of multimedia document determines the form of analysis for knowledge architecture design and retrieval methods. Over the last few decades, theories of text analysis have been proposed and applied effectively. In recent years, theories of image and sound analysis have been proposed to work with text retrieval systems and progressed quickly due in part to rapid progress in computer processing speed. Retrieval of multimedia documents formerly was divi
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Kershaw, Helen Elizabeth. "Reconstruction of mechanical properties from surface-based motion data for Digital Image Elasto-Tomography using an implicit surface representation of breast tissue structure." Thesis, University of Canterbury. Mechanical Engineering, 2012. http://hdl.handle.net/10092/7271.

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There has been great interest in recent times in the use of elastography for the characterization of human tissue. Digital Image Elasto-Tomography is a novel breast cancer pre-screening technique under development at the University of Canterbury, which aims to identify and locate stiff areas within the breast that require further investigation using images of the surface motion alone. A calibrated array of five digital cameras is used to capture surface motion of the breast under harmonic actuation. The forward problem, that is the resulting motion for a given mechanical property distribution
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Elliott, Desmond. "Structured representation of images for language generation and image retrieval." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10524.

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A photograph typically depicts an aspect of the real world, such as an outdoor landscape, a portrait, or an event. The task of creating abstract digital representations of images has received a great deal of attention in the computer vision literature because it is rarely useful to work directly with the raw pixel data. The challenge of working with raw pixel data is that small changes in lighting can result in different digital images, which is not typically useful for downstream tasks such as object detection. One approach to representing an image is automatically extracting and quantising v
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Gay, Joanna. "Structural representation models for multi-modal image registration in biomedical applications." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-410820.

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In clinical applications it is often beneficial to use multiple imaging technologies to obtain information about different biomedical aspects of the subject under investigation, and to make best use of such sets of images they need to first be registered or aligned. Registration of multi-modal images is a challenging task and is currently the topic of much research, with new methods being published frequently. Structural representation models extract underlying features such as edges from images, distilling them into a common format that can be easily compared across different image modalities
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Kemp, Jamie L. "Score and structure in ritual representation : meanings of the notational form in Sarum processional images." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/32456.

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This research project examines an intriguing type of depictions which can be found within Sarum processional manuscripts, a genre of liturgical books which were produced between the thirteenth and fifteenth centuries. The central focus is a specific example from Norwich which was produced between the late fourteenth and early fifteenth centuries. I propose that their flat, ordered, and geometrically arranged mode of representation can be best understood when considered in relation to the semantic characteristics of notational systems. Their visual form signals that they are not representation
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Cui, Yanwei. "Kernel-based learning on hierarchical image representations : applications to remote sensing data classification." Thesis, Lorient, 2017. http://www.theses.fr/2017LORIS448/document.

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La représentation d’image sous une forme hiérarchique a été largement utilisée dans un contexte de classification. Une telle représentation est capable de modéliser le contenu d’une image à travers une structure arborescente. Dans cette thèse, nous étudions les méthodes à noyaux qui permettent de prendre en entrée des données sous une forme structurée et de tenir compte des informations topologiques présentes dans chaque structure en concevant des noyaux structurés. Nous présentons un noyau structuré dédié aux structures telles que des arbres non ordonnés et des chemins (séquences de noeuds) é
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Nehme, Raphaela. "The Lens of the Other: Instagram as a Tool to Counter the Unsafe Images of Countries and the Case of Lebanon." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41040.

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The emergence of new media tools and social media platforms over the last ten years has created new means of intercultural engagement. On Instagram, there is a growing trend of travel pages and travel bloggers whose aim is to introduce and share with other users the highlights of the destinations they travel to. This also applies to locals in these destinations who wish to portray their country positively and promote it as a tourist destination, particularly in certain countries of the Middle East where there is the added challenge of an ‘unsafe’ image to combat. This research focuses on Leban
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Riba, Fiérrez Pau. "Distilling Structure from Imagery: Graph-based Models for the Interpretation of Document Images." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/670774.

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Des del seu inici, la comunitat investigadora sobre reconeixement de patrons i visió per computador ha reconegut la importància d’aprofitar la informació estructural de les imatges. Els grafs s’han seleccionat com el marc adequat per representar aquest tipus d’informació a causa de la seva flexibilitat i poder de representació capaç de codificar, tant els components, objectes i entitats com les seves relacions. Tot i que els grafs s’han aplicat amb èxit a una gran varietat de tasques -com a resultat de la seva naturalesa simbòlica i relacional- sempre han patit d’algunes limitacions comparats
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Books on the topic "Image structure representation"

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Cervel, M. Sandra Peña. Topology and cognition: What image-schemas reveal about the metaphorical languages of emotions. Lincom Europa, 2003.

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Neretina, Tat'yana, and Tat'yana Orehova. Formation at students of pedagogical profile "image of the parent" in the process of professional training at the University. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043103.

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In modern conditions of development of mankind, when, for various reasons endangered is the institution of the family, especially actual is a problem of formation of the growing person in the period of schooling parental position as an essential part not only of development but also the survival of humanity as a species. The solution to this problem in terms of the organization of Russian society goes along with the family on a school teacher. Hence the need to prepare future teachers for performing this task. 
 In the present monograph presents one approach to solving this problem throug
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Chung, Simone Shu-Yeng, and Mike Douglass, eds. The Hard State, Soft City of Singapore. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463729505.

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With Singapore serving as the subject of exploration, The Hard State, Soft City of Singapore explores the purview of imaginative representations of the city. Alongside the physical structures and associated practices that make up our lived environment, and conceptualized space engineered into material form by bureaucrats, experts and commercial interests, a perceptual layer of space is conjured out of people’s everyday life experiences. While such imaginative projections may not be as tangible as its functional designations, they are nonetheless equally vital and palpable. The richness of its
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Grenander, Ulf, and Michael I. Miller. Pattern Theory. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198505709.001.0001.

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Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short ov
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Kuppers, Petra. Dancing Disabled. Edited by Rebekah J. Kowal, Gerald Siegmund, and Randy Martin. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199928187.013.55.

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This chapter provides ways of linking phenomenology, feminist analysis, embodiment in dance, and corporeal representational politics. It engages Iris Marion Young’s argument about “Throwing Like a Girl,” addressing the pervasive structure at the heart of the meaning of femininity: the “disabling” object/subject bind that throws woman out of agency, and into the image. Using Young, Simone de Beauvoir, and Maurice Merleau Ponty as historical touchstones, the chapter shows how this agency/object bracket is at work in disability representation, and how examples of contemporary dance practice can f
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Asada, Minoru. Proprioception and body schema. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0018.

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Proprioception is our ability to sense the position of our own limbs and other body parts in space, and body schema is a body representation that allows both biological and artificial agents to execute their actions based on proprioception. The proprioceptive information used by current artificial agents (robots) is mainly related to posture (and its change) and consists of joint angles (joint velocities) given a linked structure. However, the counterpart in biological agents (humans and other animals) includes more complicated components with associated controversies concerning the relationsh
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de Vignemont, Frédérique. Taxonomies of Body Representations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198735885.003.0009.

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This chapter considers the relationship between body representations, action, and bodily experiences. It first clarifies the conceptual landscape of body representations and stresses the conceptual and empirical difficulties that the current body schema/body image taxonomy faces, difficulties that can be explained by their constant interaction but not only. There is indeed a lack of precise understanding of the functional role of the body schema as opposed to the body image. Instead of these unclear notions, the chapter proposes distinguishing different types of body representations on the bas
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Rothermel, Dennis. Becoming-Animal Cinema Narrative. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474422734.003.0014.

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This chapter connects distinctive animal territories to specific uses of film language through a series of case studies, most notably Robert Bresson’s Au hasard Balthazar (1966), Michelangelo Frammartino’s Le Quattro Volte (2011), Bela Tarr’s The Turin Horse (2011), and Ang Lee’s Life of Pi (2012). Significantly, becoming-animal cannot be represented by conventional point-of-view and shot-reverse-shot editing (the structural mainstay of filmic suture), because it ties the animal to the conventional (and thus delimiting) human vectorial space of Deleuze’s action-image. Instead, inspired by Pier
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Clüver, Claus. Ekphrasis and Adaptation. Edited by Thomas Leitch. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199331000.013.26.

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In discussing word-and-image interactions, ekphrasis and adaptation are frequently cited as major instances of intermedial transposition. Ekphrasis, redefined as “the verbal representation of real or fictive configurations composed in a non-kinetic visual medium,” can occur in literary and non-literary texts and represent two- and three-dimensional images. Some ekphrastic texts can be read as fully developed intermedial translations; others may render readers’ encounters with visual images that the text does not actually transpose at all. Ekphrasis is a descriptive monomedial mode of intermedi
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Birtwistle, Andy. Meaning and Musicality. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190469894.003.0009.

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The chapter critically reappraises the work of the British experimental filmmaker John Smith, drawing on analyses of key films and interview material to explore his use of sound, music and voice. Smith’s films often engage self-reflexively with how sound creates or accepts meaning within an audiovisual context. Influenced by structural film practice of the 1960s and 1970s, and underpinned by a Brechtian concern with the politics of representation, Smith’s often humorous work both foregrounds and deconstructs the sound-image relations at work in dominant modes of cinematic representation. This
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Book chapters on the topic "Image structure representation"

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Wang, Zhiyong, Zheru Chi, Dagan Feng, and S. Y. Cho. "Adaptive Processing of Tree-Structure Image Representation." In Advances in Multimedia Information Processing — PCM 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45453-5_133.

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Cai, Yu, Jinshan Pan, and Zhixun Su. "Blind Image Deblurring via Salient Structure Detection and Sparse Representation." In Image and Video Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92753-4_23.

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De Floriani, Leila. "A Triangle Based Data Structure For Multiresolution Surface Representation." In Image Analysis and Processing II. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1007-5_30.

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Radstake, Niels, Peter J. F. Lucas, Marina Velikova, and Maurice Samulski. "Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning." In Knowledge Representation for Health-Care. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18050-7_5.

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Rocca, Luigi, and Enrico Puppo. "A Virtually Continuous Representation of the Deep Structure of Scale-Space." In Image Analysis and Processing – ICIAP 2013. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41184-7_53.

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Wang, Yong, Xiaohui Zhao, Xiuling Mo, and Yuqing Wang. "Image Quality Assessment Based on Complex Representation of Structure Information." In Electrical, Information Engineering and Mechatronics 2011. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_91.

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Islam, Mobarakol, Lalithkumar Seenivasan, Lim Chwee Ming, and Hongliang Ren. "Learning and Reasoning with the Graph Structure Representation in Robotic Surgery." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_60.

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Al-Dujaili, Abdullah, François Merciol, and Sébastien Lefèvre. "GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18720-4_26.

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Qiao, Gang, Shangwei Liu, Qun Wei, Luting Wei, and Yingjie Wang. "Research on Block Segmentation and Assembly Technology of 3D Printing Structure." In Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3867-4_4.

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Kaur, Barleen, Paul Lemaître, Raghav Mehta, et al. "Improving Pathological Structure Segmentation via Transfer Learning Across Diseases." In Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33391-1_11.

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Conference papers on the topic "Image structure representation"

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Hu, Junjie, and Terumasa Aoki. "NON-rigid structure from motion via sparse self-expressive representation." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8297141.

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Janssen, H. "Image representation in hypercolumnar structure by means of associative memory." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294377.

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Zhang, Deming, Chang Lu, Xiaobo Lu, and Han Xue. "A Local Adaptive Structure Sparse Representation Algorithm for Image Reconstruction." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8484007.

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Bennstrom, C. F., and J. R. Casas. "Object representation using colour, shape and structure criteria in a binary partition tree." In rnational Conference on Image Processing. IEEE, 2005. http://dx.doi.org/10.1109/icip.2005.1530599.

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Liu, Yang, Haixu Liu, Chenyu Liu, and Xueming Li. "Structure-constrained low-rank and partial sparse representation for image classification." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7026057.

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Quan, Siwen, Jie Ma, Fangyu Hu, Bin Fang, and Tao Ma. "Local voxelized structure for 3D local shape description: A binary representation." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296793.

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Zhang, Min, Yifan Li, and Yu Chen. "Completely Blind Image Quality Assessment Using Latent Quality Factor from Image Local Structure Representation." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8682159.

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Zhang, M. C., and S. Chen. "A Binary Image Representation Scheme Using Irredundant Translation Invariant Data Structure." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by William A. Pearlman. SPIE, 1989. http://dx.doi.org/10.1117/12.970044.

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Han, Ping, Xiaohong Yu, Xiaoguang Lu, and Hai Li. "PolSAR image speckle reduction based on sparse representation and structure characteristics." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6855188.

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Liu, Fan, Jinhui Tang, Yan Song, Xinguang Xiang, and Zhenmin Tang. "Local structure based sparse representation for face recognition with single sample per person." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025143.

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Reports on the topic "Image structure representation"

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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