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Journal articles on the topic 'Vision model'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Pece, Arthur E. C. "Generative model based vision." Image and Vision Computing 21, no. 1 (January 2003): 1–3. http://dx.doi.org/10.1016/s0262-8856(02)00124-5.

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2

Pece, Arthur E. C., and Rasmus Larsen. "Generative model based vision." Computer Vision and Image Understanding 106, no. 1 (April 2007): 3–4. http://dx.doi.org/10.1016/j.cviu.2006.10.006.

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3

Naisberg, Y. "Biophysical vision model and learning paradigms about vision: review." Medical Hypotheses 57, no. 4 (October 2001): 409–18. http://dx.doi.org/10.1054/mehy.2001.1290.

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4

Kantabutra, Sooksan, and Gayle C. Avery. "Proposed Model for Investigating Relationships between Vision Components and Business Unit Performance." Journal of Management & Organization 8, no. 2 (2002): 22–39. http://dx.doi.org/10.1017/s1833367200005009.

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ABSTRACTLeaders are widely exhorted to employ visions, yet surprisingly little research has been conducted on what constitutes an “effective” vision. A research model is proposed for investigating relationships between vision components, and business unit performance as measured by employee and customer satisfaction. The model, expressed both graphically and as three propositions, proposes that vision attributes of brevity, clarity, abstractness, challenge, future orientation, stability, and desirability, plus vision content relating to employee and customer satisfaction, can directly affect performance. However, the model also predicts indirect effects on performance mediated by six realization factors and two intervening variables.
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5

Kantabutra, Sooksan, and Gayle C. Avery. "Proposed Model for Investigating Relationships between Vision Components and Business Unit Performance." Journal of the Australian and New Zealand Academy of Management 8, no. 2 (2002): 22–39. http://dx.doi.org/10.5172/jmo.2002.8.2.22.

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ABSTRACTLeaders are widely exhorted to employ visions, yet surprisingly little research has been conducted on what constitutes an “effective” vision. A research model is proposed for investigating relationships between vision components, and business unit performance as measured by employee and customer satisfaction. The model, expressed both graphically and as three propositions, proposes that vision attributes of brevity, clarity, abstractness, challenge, future orientation, stability, and desirability, plus vision content relating to employee and customer satisfaction, can directly affect performance. However, the model also predicts indirect effects on performance mediated by six realization factors and two intervening variables.
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6

Higuchi, Kazutoshi, Mitsuru Kaise, Hiroto Noda, Go Ikeda, Teppei Akimoto, Hiroshi Yamawaki, Osamu Goto, Nobue Ueki, Seiji Futagami, and Katsuhiko Iwakiri. "Usefulness of 3-Dimensional Flexible Endoscopy in Esophageal Endoscopic Submucosal Dissection in an Ex Vivo Animal Model." Gastroenterology Research and Practice 2019 (November 3, 2019): 1–5. http://dx.doi.org/10.1155/2019/4051956.

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Background and Aims. Three-dimensional (3D) rigid endoscopy has been clinically introduced in surgical fields to enable safer and more accurate procedures. To explore the feasibility of 3D flexible endoscopy, we conducted a study comparing 2-dimensional (2D) and 3D visions for the performance of esophageal endoscopic submucosal dissection (ESD). Methods. Six endoscopists (3 experts and 3 trainees) performed ESD of target lesions in isolated porcine esophagus using a prototype 3D flexible endoscope under 2D or 3D vision. Study endpoints were procedure time, speed of mucosal incision and submucosal dissection, number of technical adverse events (perforation, muscle layer damage, and sample damage), and degree of sense of security, fatigue, and eye strain. Results. Procedure time and speed of mucosal incision/submucosal dissection were equivalent for 2D and 3D visions in both experts and trainees. The number of technical adverse events using 2D vision (mean [standard deviation], 3.5 [4.09]) tended to be higher than that using 3D vision in trainees (1.33 [2.80]; P=.06). In experts, 2D and 3D visions were equivalent. The degree of sense of security using 3D vision (3.67 [0.82]) was significantly higher than that using 2D vision (2.67 [0.52]) in trainees (P=.04), but was equivalent in experts. The degree of eye strain using 3D vision (3.00 [0.00]) was significantly higher than that using 2D vision (2.17 [0.41]) in trainees, but was equivalent in experts. Conclusions. 3D vision improves the sense of security during ESD and may reduce technical errors, especially in trainees, indicating the feasibility of a clinical trial of ESD under 3D vision.
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7

HASEGAWA, Tsutomu. "Model-based Vision Robotic Manipulation." Journal of the Robotics Society of Japan 10, no. 2 (1992): 153–58. http://dx.doi.org/10.7210/jrsj.10.153.

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8

Lockwood, P., S. Lu, and C. Martin. "A Model for Binocular Vision." IFAC Proceedings Volumes 28, no. 14 (June 1995): 71–74. http://dx.doi.org/10.1016/s1474-6670(17)46808-x.

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9

Shi, Jin Fang, Zhen Wei Su, and Guo Hui Li. "Computational Model for Machine Vision Inspection Based on Vision Attention." Advanced Materials Research 383-390 (November 2011): 2398–403. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2398.

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Human vision system exploits this fact by visual selective attention mechanisms towards important and informative regions. A computational model of combination both bottom-up and top-down simulating human vision system for machine vision inspection is proposed. In this model, top-down knowledge-based information is highlighted to integrate into bottom-up stimulus-based process of vision attention. The model is tested on inspecting contaminants in cotton images. Experiment result shows that the proposed model is feasible and effective in visual inspection. And it is available and quasi-equivalent to human vision attention.
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10

Oh, Il Kweon, Seong Won Yeom, and Dong Weon Lee. "Modal Reduced Order Model for Vision Sensing of IPMC Actuator." Key Engineering Materials 326-328 (December 2006): 1523–26. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.1523.

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In order to control the IPMC (Ionic Polymer Metal Composite) actuators, it is necessary to use a vision sensing system and a reduced order model from the vision sensing data. In this study, the MROVS (Modal Reduced Order Vision Sensing) model using the least square method has been developed for implementation of the biomimetic motion generation. The simulated transverse displacement is approximated with a sum of the lower mode shapes of the cantilever beam. The NIPXI 1409 image acquisition board and CCD camera (XC-HR50) are used in the experimental setup. Present results show that the MROVS model can efficiently process the vision sensing of the biomimetic IPMC actuator with cost-effective computational time.
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11

Paledung, Christanto Sema Rappan. "Visi Eskatologis-Kreatif dan Eksemplaris-Terbuka sebagai Model Kehadiran Kristen dalam Konteks Indonesia." Studia Philosophica et Theologica 19, no. 1 (December 11, 2019): 20–36. http://dx.doi.org/10.35312/spet.v19i1.85.

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This paper intends to look for a vision of Christian presence that might be applied in the context of a pluralistic society, such as Indonesia. Therefore, I ventured into the tradition of the 20th century Russian Orthodox Church to look for that possibility. It was Nikolai Berdyaev, a Russian theologian who redefined the direction of church in Russia in his day. He expressed a philosophy of creative freedom in the eschatological perspective of the Orthodox Church. He stressed the importance of human participation in the divine work to resist objectification of the world. I will construct the vision of Christian Berdyaev’s presence, I will look at the thoughts of a theologian of a Calvinist Church in Indonesia, namely, namely Kadarmanto Hardjowasito. He expressed his Christian vision which emphasized exemplarity and openness to other individuals and communities as visions of Christian presence. Both thoughts can build a theological construction for visions of Christian presence in the Indonesian context
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12

Martin, Karen L. "Vision led = vision fed." International Journal of Critical Indigenous Studies 9, no. 2 (June 1, 2016): 1–14. http://dx.doi.org/10.5204/ijcis.v9i2.137.

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As the National Indigenous Knowledges and Research Network (NIRAKN) reaches its completion as an entity in 2016, this paper takes up the invitation to its members to write about the key learnings, benefits and challenges experienced as a member of NIRAKN’s Indigenous Sociology, Indigenous Knowledge and Technology node. The author discusses the role of NIRAKN in progressing the scholarship of Aboriginal early childhood education through its collaborative research program, raising the bar regarding Aboriginal knowledges in higher education through its network connections and aspects for holding ground in Aboriginal research capacity building, particularly in the area of qualitative research methodologies. These discussions serve to highlight that, as the NIRAKN model has been led by a strong vision, it has fed change and achieved its visions.
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13

Kojima, Takashi, Yoshihiro Kitazawa, Tomoaki Nakamura, Masahide Takahashi, Kazutaka Kamiya, Kazuo Ichikawa, Akihito Igarashi, and Kimiya Shimizu. "Prospective Randomized Multicenter Comparison of the Clinical Outcomes of V4c and V5 Implantable Collamer Lenses: A Contralateral Eye Study." Journal of Ophthalmology 2018 (September 5, 2018): 1–6. http://dx.doi.org/10.1155/2018/7623829.

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Purpose. To compare the visual and refractive outcomes and night vision performance questionnaire results between V4c and V5 implantable Collamer lenses in a prospective, randomized, multicenter study.Settings. Four refractive surgery centers.Design. Prospective randomized multicenter single-masked comparative study.Methods. Twenty-three patients were enrolled in this study. A conventional V4c model (EVO Visian ICL) was implanted in one eye, and a V5 model (EVO+ Visian ICL), which has a larger optic diameter than the V4c model, was implanted in the contralateral eye. The uncorrected distance visual acuity (UDVA) and corrected distance visual acuity (CDVA) were evaluated before and 6 months after surgery. At 6 months after surgery, a questionnaire on night vision disturbances was administered. The efficacy, safety, and predictability of the two implanted ICL models were compared.Results. There were no significant differences in the postoperative UDVA and CDVA between the two ICL models. The mean efficacy indexes for the V4c and V5 lenses were 1.16 ± 0.22 and 1.03 ± 0.23, respectively. The mean safety indexes of the V4c and V5 lenses were 1.21 ± 0.20 and 1.19 ± 0.20, respectively. The night vision performance questionnaire revealed that 7 patients (37%) noticed a difference in visual performance between the eyes, and all of them reported that they could see better at night with the V5-implanted eye compared with the V4c-implanted eye.Conclusion. The V4c and V5 ICL models achieved similar visual and refractive outcomes, whereas the V5 model showed a possible advantage in reducing night vision disturbances.
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14

Jeong, Sang-Man, Joo-Heon Lee, and Joong-Kun Ahn. "Water Demand and Supply Stability Analysis Using Shared Vision Model." Journal of Korea Water Resources Association 37, no. 7 (July 1, 2004): 569–79. http://dx.doi.org/10.3741/jkwra.2004.37.7.569.

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15

Tsuji, Saburo. "Robot and Vision (IV). Environment Model." IEEJ Transactions on Electronics, Information and Systems 116, no. 9 (1996): 1074–80. http://dx.doi.org/10.1541/ieejeiss1987.116.9_1074.

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16

Crandall, Walter E. "Digital vision theory: Boolean logic model." International Journal of Neuroscience 56, no. 1-4 (January 1991): 39–71. http://dx.doi.org/10.3109/00207459108985405.

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17

Robert-Inacio, F., and L. Yushchenko. "Visual attention model for computer vision." Biologically Inspired Cognitive Architectures 7 (January 2014): 26–38. http://dx.doi.org/10.1016/j.bica.2013.11.001.

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18

Droulez, Jacques. "A model approach to computational vision." Trends in Cognitive Sciences 6, no. 11 (November 2002): 490–91. http://dx.doi.org/10.1016/s1364-6613(02)01994-0.

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19

Crandall, Walter E. "Digital Vision Theory: Boolean Logic Model." International Journal of Neuroscience 107, no. 1-2 (January 2001): 7–41. http://dx.doi.org/10.3109/00207450109149755.

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20

Roberts, Pamela S., John-Ross Rizzo, Kimberly Hreha, Jeffrey Wertheimer, Jennifer Kaldenberg, Dawn Hironaka, Richard Riggs, and August Colenbrander. "A conceptual model for vision rehabilitation." Journal of Rehabilitation Research and Development 53, no. 6 (2016): 693–704. http://dx.doi.org/10.1682/jrrd.2015.06.0113.

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21

Won, Jungyeon, Lan Ying Shi, Wanda Hicks, Jieping Wang, Ronald Hurd, Jürgen K. Naggert, Bo Chang, and Patsy M. Nishina. "Mouse Model Resources for Vision Research." Journal of Ophthalmology 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/391384.

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The need for mouse models, with their well-developed genetics and similarity to human physiology and anatomy, is clear and their central role in furthering our understanding of human disease is readily apparent in the literature. Mice carrying mutations that alter developmental pathways or cellular function provide model systems for analyzing defects in comparable human disorders and for testing therapeutic strategies. Mutant mice also provide reproducible, experimental systems for elucidating pathways of normal development and function. Two programs, the Eye Mutant Resource and the Translational Vision Research Models, focused on providing such models to the vision research community are described herein. Over 100 mutant lines from the Eye Mutant Resource and 60 mutant lines from the Translational Vision Research Models have been developed. The ocular diseases of the mutant lines include a wide range of phenotypes, including cataracts, retinal dysplasia and degeneration, and abnormal blood vessel formation. The mutations in disease genes have been mapped and in some cases identified by direct sequencing. Here, we report 3 novel alleles ofCrxtvrm65,Rp1tvrm64, andRpe65tvrm148as successful examples of the TVRM program, that closely resemble previously reported knockout models.
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22

Hall, A., and I. L. Bailey. "A Model for Training Vision Functioning." Journal of Visual Impairment & Blindness 83, no. 8 (October 1989): 390–96. http://dx.doi.org/10.1177/0145482x8908300807.

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We propose a model describing relationships between vision and visually dependent behaviors, and from this we developed a basic model for the process of training vision functioning. The purpose is to provide a conceptual framework to help define basic assumptions, goals, components, and methods, of training programs, and to assist practitioners in program design.
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23

Umeno, Masayoshi, Xiaoyan Zhu, and Masashi Nakamura. "Pattern Recognition by Biomedical Vision Model." IEEJ Transactions on Electronics, Information and Systems 108, no. 7 (1988): 453–56. http://dx.doi.org/10.1541/ieejeiss1987.108.7_453.

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24

Robillard, Nicole, and Olga Overbury. "Quebec model for low vision rehabilitation." Canadian Journal of Ophthalmology 41, no. 3 (2006): 362–66. http://dx.doi.org/10.1139/i06-022.

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25

Chin, Roland T., and Charles R. Dyer. "Model-based recognition in robot vision." ACM Computing Surveys 18, no. 1 (March 1986): 67–108. http://dx.doi.org/10.1145/6462.6464.

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26

Yoder, Lane. "Relative absorption model of color vision." Color Research & Application 30, no. 4 (2005): 252–64. http://dx.doi.org/10.1002/col.20121.

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27

Paul, B. "High Vision Games Net Low Vision Gains." Journal of Visual Impairment & Blindness 86, no. 1 (January 1992): 63–65. http://dx.doi.org/10.1177/0145482x9208600123.

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28

Tosiek, Piotr. "Polska wizja „rekonstytucji” Unii Europejskiej: nowy model integracji zróżnicowanej?" Przegląd Europejski, no. 3-2017 (January 28, 2018): 38–56. http://dx.doi.org/10.31338/1641-2478pe.3.17.2.

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The main hypothesis of the article is based on the assumption that the vision of “reconstitution” of the European Union presented by Krzysztof Szczerski is a hybrid concept of differentiated integration. The analysis of geopolitical, institutional, economic and axiological dimensions of “reconstitution” allows to conclude that this vision merges the elements of the “multispeed Europe”, the “Europe of concentric circles” and the “Europe à la carte” concepts. The results of the analysis prove that the vision stems from the wrong perception of reality, being incoherent and rooted in a specific ideological approach. From the point of view of Poland’s interests it is dysfunctional at the current stage of European integration.
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29

Anderson, JADW, KD Baker, and GD Sullivan. "‘Model’: a POPLOG package to support model-based vision." Image and Vision Computing 4, no. 2 (May 1986): 115–19. http://dx.doi.org/10.1016/0262-8856(86)90030-2.

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30

Bellon-Harn, Monica L., and Michael T. Garrett. "VISION." Communication Disorders Quarterly 29, no. 3 (May 2008): 141–48. http://dx.doi.org/10.1177/1525740108315879.

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The American Speech-Language-Hearing Association has established knowledge and skills needed for culturally competent service delivery by speech-language pathologists. Among these are skills needed to demonstrate sensitivity to cultural and linguistic differences. The purpose of this article is to describe a model, VISION, to assist in development of cultural competence. This article includes a description of the components of VISION followed by vignettes to illustrate its application.
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31

Bumbaca, Federico, and Kenneth C. Smith. "Design and implementation of a colour vision model for computer vision applications." Computer Vision, Graphics, and Image Processing 39, no. 2 (August 1987): 226–45. http://dx.doi.org/10.1016/s0734-189x(87)80167-6.

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32

MASSOF, ROBERT W. "A Systems Model for Low Vision Rehabilitation. II. Measurement of Vision Disabilities." Optometry and Vision Science 75, no. 5 (May 1998): 349–73. http://dx.doi.org/10.1097/00006324-199805000-00025.

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33

Garrison, Thomas G., Dustin Richmond, Perry Naughton, Eric Lo, Sabrina Trinh, Zachary Barnes, Albert Lin, Curt Schurgers, Ryan Kastner, and Sarah E. Newman. "Tunnel Vision." Advances in Archaeological Practice 4, no. 2 (May 2016): 192–204. http://dx.doi.org/10.7183/2326-3768.4.2.192.

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AbstractArchaeological tunneling is a standard excavation strategy in Mesoamerica. The ancient Maya built new structures atop older ones that were no longer deemed usable, whether for logistical or ideological reasons. This means that as archaeologists excavate horizontal tunnels into ancient Maya structures, they are essentially moving back in time. As earlier constructions are encountered, these tunnels may deviate in many directions in order to document architectural remains. The resultant excavations often become intricate labyrinths, extending dozens of meters. Traditional forms of archaeological documentation, such as photographs, plan views, and profile drawings, are limited in their ability to convey the complexity of tunnel excavations. Terrestrial Lidar (light detection and ranging) instruments are able to generate precise 3D models of tunnel excavations. This article presents the results of a model created with a Faro™ Focus 3D 120 Scanner of tunneling excavations at the site of El Zotz, Guatemala. The lidar data document the excavations inside a large mortuary pyramid, including intricately decorated architecture from an Early Classic (A.D. 300–600) platform buried within the present form of the structure. Increased collaboration between archaeologists and scholars with technical expertise maximizes the effectiveness of 3D models, as does presenting digital results in tandem with traditional forms of documentation.
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34

GOMI, Shin-ichiro, and Koichiro DEGUCHI. "Hierarchical Design of Model Based Vision Systems." Transactions of the Society of Instrument and Control Engineers 30, no. 6 (1994): 712–19. http://dx.doi.org/10.9746/sicetr1965.30.712.

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35

Valberg, Arne, and Thorstein Seim. "Neurophysiological correlates of color vision: A model." Psychology & Neuroscience 6, no. 2 (2013): 213–18. http://dx.doi.org/10.3922/j.psns.2013.2.09.

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36

Baden, Tom. "Vertebrate vision: Lessons from non-model species." Seminars in Cell & Developmental Biology 106 (October 2020): 1–4. http://dx.doi.org/10.1016/j.semcdb.2020.05.028.

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37

Blake, Richard E., and Algimantas Juozapavicius. "Convergent matching for model-based computer vision." Pattern Recognition 36, no. 2 (February 2003): 527–34. http://dx.doi.org/10.1016/s0031-3203(02)00059-6.

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38

Sridhar, Banavar, Gano B. Chatterji, and Tarun Soni. "Model Based Vision for Aircraft Position Determination." IFAC Proceedings Volumes 27, no. 13 (September 1994): 67–72. http://dx.doi.org/10.1016/s1474-6670(17)45780-6.

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39

Ylinen, Raimo, Jorma Miettunen, Mika Molander, and Eeva-Riitta Siliämaa. "Vision- and model-based control of flotation." IFAC Proceedings Volumes 33, no. 22 (August 2000): 459–64. http://dx.doi.org/10.1016/s1474-6670(17)37038-6.

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40

Maybank, S. J., and P. A. Beardsley. "Applications of invariants to model-based vision." Journal of Applied Statistics 21, no. 5 (January 1994): 431–57. http://dx.doi.org/10.1080/757584020.

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41

Yi, Yingmin, Ding Liu, and Jianshu Liu. "Vision-Based Interacting Multiple Model Targets Tracking." Advanced Science Letters 11, no. 1 (May 30, 2012): 574–77. http://dx.doi.org/10.1166/asl.2012.2989.

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42

Guth, S. Lee. "Model for color vision and light adaptation." Journal of the Optical Society of America A 8, no. 6 (June 1, 1991): 976. http://dx.doi.org/10.1364/josaa.8.000976.

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43

Schütt, Heiko H., and Felix A. Wichmann. "An image-computable psychophysical spatial vision model." Journal of Vision 17, no. 12 (October 20, 2017): 12. http://dx.doi.org/10.1167/17.12.12.

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44

Comport, Andrew I., Éric Marchand, and François Chaumette. "Efficient model-based tracking for robot vision." Advanced Robotics 19, no. 10 (January 2005): 1097–113. http://dx.doi.org/10.1163/156855305774662226.

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45

Itti, Laurent, Christof Koch, and Jochen Braun. "Revisiting spatial vision: toward a unifying model." Journal of the Optical Society of America A 17, no. 11 (November 1, 2000): 1899. http://dx.doi.org/10.1364/josaa.17.001899.

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46

Karas, Marek P., Lisa Donaldson, Angela Charles, Janet Silver, Deborah Hodes, and G. G. W. Adams. "Paediatric community vision screening-a new model." Ophthalmic and Physiological Optics 19, no. 4 (July 1999): 295–99. http://dx.doi.org/10.1046/j.1475-1313.1999.00425.x.

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47

Shirai, Yoshiaki. "Robot vision based on three-dimensional model." Systems and Computers in Japan 17, no. 2 (1986): 51–58. http://dx.doi.org/10.1002/scj.4690170206.

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48

Fry, Glenn A. "Color vision model of macLeod and Boynton." Color Research & Application 14, no. 3 (June 1989): 152–56. http://dx.doi.org/10.1002/col.5080140309.

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49

BABER, W. LORENZO, MICHAEL T. GARRETT, and CHERYL HOLCOMB-MCCOY. "VISION: A Model of Culture for Counselors." Counseling and Values 41, no. 3 (April 1997): 184–93. http://dx.doi.org/10.1002/j.2161-007x.1997.tb00401.x.

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50

Ellis, T. J., P. L. Rosin, and P. Golton. "Model-based vision for automatic alarm interpretation." IEEE Aerospace and Electronic Systems Magazine 6, no. 3 (March 1991): 14–20. http://dx.doi.org/10.1109/62.71910.

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