請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54213
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 莊永裕 | |
dc.contributor.author | Yan-Jen Su | en |
dc.contributor.author | 蘇彥禎 | zh_TW |
dc.date.accessioned | 2021-06-16T02:45:00Z | - |
dc.date.available | 2015-07-20 | |
dc.date.copyright | 2015-07-20 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-07-20 | |
dc.identifier.citation | [1] T. Agocs, T. Balogh, T. Forgacs, F. Bettio, E. Gobbetti, G. Zanetti, and E. Bouvier. A
large scale interactive holographic display. In Proceedings of the IEEE conference on Virtual Reality, VR ’06, pages 311–, Washington, DC, USA, 2006. IEEE Computer Society. [2] K. Akeley, S. J. Watt, A. R. Girshick, and M. S. Banks. A stereo display prototype with multiple focal distances. In ACM SIGGRAPH 2004 Papers, SIGGRAPH ’04, pages 804–813, New York, NY, USA, 2004. ACM. [3] R. Akerstrom and J. Todd. The perception of stereoscopic transparency. Attention, Perception, & Psychophysics, 44:421–432, 1988. 10.3758/BF03210426. [4] U. Alim, T. Moller, and L. Condat. Gradient estimation revitalized. IEEE Transactions on Visualization and Computer Graphics, 16(6):1495–1504, November 2010. [5] P. C. Barnum, S. G. Narasimhan, and T. Kanade. A multi-layered display with water drops. ACM Trans. Graph., 29(4):76:1–76:7, July 2010. [6] F. Berthouzoz and R. Fattal. Resolution enhancement by vibrating displays. ACM Trans. Graph., 31(2):15:1–15:14, Apr. 2012. [7] M. H. Beurden, W. A. Ijsselsteijn, and J. F. Juola. Effectiveness of stereoscopic displays in medicine: A review. 3D Res., 3(1):54:1–54:13, Mar. 2012. [8] C. Boucheny, G.-P. Bonneau, J. Droulez, G. Thibault, and S. Ploix. A perceptive evaluation of volume rendering techniques. ACM Trans. Appl. Percept., 5(4):23:1– 23:24, Feb. 2009. [9] U. Brandes and C. Pich. Eigensolver methods for progressive multidimensional scaling of large data. In Proceedings of the 14th international conference on Graph drawing, GD’06, pages 42–53, Berlin, Heidelberg, 2007. Springer-Verlag. [10] B. Cabral and L. C. Leedom. Imaging vector fields using line integral convolution. In Proceedings of the 20th annual conference on Computer graphics and interactive techniques, SIGGRAPH ’93, pages 263–270, New York, NY, USA, 1993. ACM. [11] S. Camarri, M.-V. Salvetti, M. Buffoni, and A. Iollo. Simulation of the threedimensional flow around a square cylinder between parallel walls at moderate Reynolds numbers. In XVII Congresso di Meccanica Teorica ed Applicata, 2005. [12] C.-K. Chen, S. Yan, H. Yu, N. Max, and K.-L. Ma. An illustrative visualization framework for 3d vector fields. Computer Graphics Forum, 30(7):1941–1951, 2011. [13] C. Correa and K.-L. Ma. Size-based transfer functions: A new volume exploration technique. IEEE Transactions on Visualization and Computer Graphics, 14(6):1380– 1387, Nov. 2008. [14] C. Correa and K.-L. Ma. The occlusion spectrum for volume classification and visualization. IEEE Transactions on Visualization and Computer Graphics, 15:1465– 1472, November 2009. [15] C. D. Correa and K.-L. Ma. Visibility-driven transfer functions. In Proceedings of the 2009 IEEE Pacific Visualization Symposium, PACIFICVIS ’09, pages 177–184, Washington, DC, USA, 2009. IEEE Computer Society. [16] O. Cossairt, J. Napoli, S. Hill, R. Dorval, and G. Favalora. Occlusion-capable multiview volumetric three-dimensional display. Applied Optics, 46(8):1244–1250, 2007. [17] N. Damera-Venkata and N. Chang. Realizing super-resolution with superimposed projection. In Computer Vision and Pattern Recognition, 2007. CVPR ’07. IEEE Conference on, pages 1 –8, june 2007. [18] P. Desgranges, K. Engel, and G. Paladini. Gradient-free shading: A new method for realistic interactive volume rendering. In Vision, Modeling and Visualization, 2005. [19] P. Didyk, E. Eisemann, T. Ritschel, K. Myszkowski, and H.-P. Seidel. Apparent display resolution enhancement for moving images. In ACM SIGGRAPH 2010 papers, SIGGRAPH ’10, pages 113:1–113:8, New York, NY, USA, 2010. ACM. [20] U. Diewald, T. Preuber, and M. Rumpf. Anisotropic diffusion in vector field visualization on euclidean domains and surfaces. IEEE Transactions on Visualization and Computer Graphics, 6(2):139–149, Apr. 2000. [21] R. A. Drebin, L. Carpenter, and P. Hanrahan. Volume rendering. In Proceedings of the 15th annual conference on Computer graphics and interactive techniques, SIGGRAPH ’88, pages 65–74, New York, NY, USA, 1988. ACM. [22] K. Engel, M. Kraus, and T. Ertl. High-quality pre-integrated volume rendering using hardware-accelerated pixel shading. In Proceedings of the ACM SIGGRAPH/ EUROGRAPHICS workshop on Graphics hardware, HWWS ’01, pages 9–16, New York, NY, USA, 2001. ACM. [23] G. E. Favalora. Volumetric 3d displays and application infrastructure. Computer, 38(8):37–44, Aug. 2005. [24] B. GANAPATHISUBRAMANI, E. K. LONGMIRE, and I. MARUSIC. Characteristics of vortex packets in turbulent boundary layers. Journal of Fluid Mechanics, 478:35–46, 3 2003. [25] M. Griebel, T. Preusser, M. Rumpf, M. A. Schweitzer, and A. Telea. Flow field clustering via algebraic multigrid. In Proceedings of the Conference on Visualization ’04, VIS ’04, pages 35–42, Washington, DC, USA, 2004. IEEE Computer Society. [26] T. Günther, C. Rössl, and H. Theisel. Opacity optimization for 3d line fields. ACM Trans. Graph., 32(4):120:1–120:8, July 2013. [27] M. Halle and J. Meng. Lightkit: A lighting system for effective visualization. In Proceedings of the 14th IEEE Visualization 2003 (VIS’03), VIS ’03, pages 48–, Washington, DC, USA, 2003. IEEE Computer Society. [28] B. Heckel, G. Weber, B. Hamann, and K. I. Joy. Construction of vector field hierarchies. In Proceedings of the Conference on Visualization ’99: Celebrating Ten Years, VIS ’99, pages 19–25, Los Alamitos, CA, USA, 1999. IEEE Computer Society Press. [29] H. W. Jensen and P. H. Christensen. Efficient simulation of light transport in scenes with participating media using photon maps. In Proceedings of the 25th annual conference on Computer graphics and interactive techniques, SIGGRAPH ’98, pages 311–320, New York, NY, USA, 1998. ACM. [30] A. Jones, I. McDowall, H. Yamada, M. Bolas, and P. Debevec. Rendering for an interactive 360 light field display. ACM Trans. Graph., 26(3), July 2007. [31] J. T. Kajiya and B. P. Von Herzen. Ray tracing volume densities. In Proceedings of the 11th annual conference on Computer graphics and interactive techniques, SIGGRAPH ’84, pages 165–174, New York, NY, USA, 1984. ACM. [32] G. Kindlmann and J. W. Durkin. Semi-automatic generation of transfer functions for direct volume rendering. In Proceedings of the 1998 IEEE symposium on Volume visualization, VVS ’98, pages 79–86, New York, NY, USA, 1998. ACM. [33] G. Kindlmann, R. Whitaker, T. Tasdizen, and T. Moller. Curvature-based transfer functions for direct volume rendering: Methods and applications. In Proceedings of the 14th IEEE Visualization 2003 (VIS’03), VIS ’03, pages 67–, Washington, DC, USA, 2003. IEEE Computer Society. [34] J. Kniss, G. Kindlmann, and C. Hansen. Multidimensional transfer functions for interactive volume rendering. IEEE Transactions on Visualization and Computer Graphics, 8:270–285, July 2002. [35] J. Kniss, S. Premoze, C. Hansen, P. Shirley, and A. McPherson. A model for volume lighting and modeling. Visualization and Computer Graphics, IEEE Transactions on, 9(2):150–162, April 2003. [36] J. Kniss, S. Premoze, M. Ikits, A. Lefohn, C. Hansen, and E. Praun. Gaussian transfer functions for multi-field volume visualization. In Proceedings of the 14th IEEE Visualization 2003 (VIS’03), VIS ’03, pages 65–, Washington, DC, USA, 2003b. IEEE Computer Society. [37] M. Levoy. Display of surfaces from volume data. IEEE Comput. Graph. Appl., 8:29–37, May 1988. [38] L. Li and H.-W. Shen. Image-based streamline generation and rendering. IEEE Transactions on Visualization and Computer Graphics, 13(3):630–640, May 2007. [39] S. Liu, H. Hua, and D. Cheng. A novel prototype for an optical see-through headmounted display with addressable focus cues. IEEE Transactions on Visualization and Computer Graphics, 16(3):381–393, May 2010. [40] C. Lundstrom, P. Ljung, and A. Ynnerman. Local histograms for design of transfer functions in direct volume rendering. IEEE Transactions on Visualization and Computer Graphics, 12:1570–1579, November 2006. [41] R. Maciejewski, I. Woo, W. Chen, and D. Ebert. Structuring feature space: A nonparametric method for volumetric transfer function generation. IEEE Transactions on Visualization and Computer Graphics, 15:1473–1480, November 2009. [42] H. Maeda, K. Hirose, J. Yamashita, K. Hirota, and M. Hirose. All-around display for video avatar in real world. In Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality, ISMAR ’03, pages 288–, Washington, DC, USA, 2003. IEEE Computer Society. [43] P. Makela, J. Rovamo, and D. Whitaker. Effects of luminance and external temporal noise on flicker sensitivity as a function of sitimulus size at various eccentricities. Vision research, 34(15):1981–1991, 1994. [44] S. Marchesin, C.-K. Chen, C. Ho, and K.-L. Ma. View-dependent streamlines for 3d vector fields. IEEE Transactions on Visualization and Computer Graphics, 16(6):1578–1586, Nov. 2010. [45] N. Max. Optical models for direct volume rendering. IEEE Transactions on Visualization and Computer Graphics, 1:99–108, June 1995. [46] F. H. Post, B. Vrolijk, H. Hauser, R. S. Laramee, and H. Doleisch. Feature extraction and visualisation of flow fields, 2002. [47] F. Qiu, F. Xu, Z. Fan, N. Neophytos, A. Kaufman, and K. Mueller. Lattice-based volumetric global illumination. IEEE Transactions on Visualization and Computer Graphics, 13:1576–1583, November 2007. [48] E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda. Photographic tone reproduction for digital images. ACM Trans. Graph., 21(3):267–276, July 2002. [49] C. Rezk-Salama, M. Keller, and P. Kohlmann. High-level user interfaces for transfer function design with semantics. IEEE Transactions on Visualization and Computer Graphics, 12(5):1021–1028, September 2006. [50] C. Rezk-Salama and A. Kolb. Opacity peeling for direct volume rendering. Computer Graphics Forum (Proc. Eurographics), 25(3):597–606, 2006. [51] S. Roettger, M. Bauer, and M. Stamminger. Spatialized transfer functions. In Proceedings of EuroVis 2005, pages 271–278, 2005. [52] M. Ruiz, I. Boada, I. Viola, S. Bruckner, M. Feixas, and M. Sbert. Obscurance-based volume rendering framework. In Proceedings of IEEE/EG International Symposium on Volume and Point-Based Graphics, pages 113–120, Aug 2008. [53] H. E. Rushmeier and K. E. Torrance. The zonal method for calculating light intensities in the presence of a participating medium. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques, SIGGRAPH ’87, pages 293–302, New York, NY, USA, 1987. ACM. [54] M. Schott, V. Pegoraro, C. D. Hansen, K. Boulanger, and K. Bouatouch. A directional occlusion shading model for interactive direct volume rendering. Comput. Graph. Forum, 28(3):855–862, 2009. [55] P. Sereda, A. Vilanova Bartroli, I. W. O. Serlie, and F. A. Gerritsen. Visualization of boundaries in volumetric data sets using LH histograms. IEEE Transactions on Visualization and Computer Graphics, 12(2):208–218, March 2006. [56] V. Solteszova, D. Patel, S. Bruckner, and I. Viola. A multidirectional occlusion shading model for direct volume rendering. Computer Graphics Forum, 29(3):883– 891, june 2010. [57] J. Stam. Multiple scattering as a diffusion process. In Rendering Techniques, pages 41–50, 1995. [58] A. Telea and J. J. van Wijk. Simplified representation of vector fields. In Proceedings of the Conference on Visualization ’99: Celebrating Ten Years, VIS ’99, pages 35– 42, Los Alamitos, CA, USA, 1999. IEEE Computer Society Press. [59] P. U. Tse. Volume completion. Cognitive Psychology, 39:37–68, 1999. [60] I. Tsirlin, R. S. Allison, and L. M. Wilcox. Stereoscopic transparency: constraints on the perception of multiple surfaces. Journal of Vision, 8:1–10, 2008. [61] C. W. Tyler and L. L. Kontsevich. Mechanisms of stereoscopic processing: stereoattention and surface perception in depth reconstruction. Perception, 24:127–153, 1995. [62] F.-Y. Tzeng, E. B. Lum, and K.-L. Ma. A novel interface for higher-dimensional classification of volume data. In Proceedings of the 14th IEEE Visualization 2003 (VIS’03), pages 505–512, 2003. [63] F.-Y. Tzeng and K.-L. Ma. A cluster-space visual interface for arbitrary dimensional classification of volume data. In Proceedings of Joint Eurographics-IEEE TVCG Symposium on Visualization, pages 17–24, May 2004. [64] S.-K. Ueng, C. Sikorski, and K.-L. Ma. Efficient streamline, streamribbon, and streamtube constructions on unstructured grids. IEEE Transactions on Visualization and Computer Graphics, 2(2):100–110, June 1996. [65] S.-K. Ueng and W.-Y. Sun. Multi-resolution unsteady flow visualization. In Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01, IIH-MSP ’07, pages 357–360, Washington, DC, USA, 2007. IEEE Computer Society. [66] S.-K. Ueng and S.-C. Wang. Interpolation and visualization for advected scalar fields. In 16th IEEE Visualization Conference (VIS 2005), 23-28 October 2005, Minneapolis, MN, USA, page 78. IEEE Computer Society, 2005. [67] V. Verma, D. Kao, and A. Pang. A flow-guided streamline seeding strategy. In Proceedings of the Conference on Visualization ’00, VIS ’00, pages 163–170, Los Alamitos, CA, USA, 2000. IEEE Computer Society Press. [68] W. von Funck, T. Weinkauf, H. Theisel, and H.-P. Seidel. Smoke surfaces: An interactive flow visualization technique inspired by real-world flow experiments. IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization 2008), 14(6):1396–1403, November - December 2008. [69] L. Wang, X. Zhao, and A. Kaufman. Modified dendrogram of attribute space for multidimensional transfer function design. Visualization and Computer Graphics, IEEE Transactions on, 18(1):121–131, January 2012. [70] J. Wei, C. Wang, H. Yu, and K.-L. Ma. A sketch-based interface for classifying and visualizing vector fields. In Pacific Visualization Symposium (PacificVis), 2010 IEEE, pages 129–136, March 2010. [71] G. Wetzstein, D. Lanman, W. Heidrich, and R. Raskar. Layered 3d: tomographic image synthesis for attenuation-based light field and high dynamic range displays. ACM Trans. Graph., 30(4):95:1–95:12, July 2011. [72] Y. Wu and H. Qu. Interactive transfer function design based on editing direct volume rendered images. IEEE Trans. Vis. Comput. Graph., 13(5):1027–1040, 2007. [73] L. Xu, T.-Y. Lee, and H.-W. Shen. An information-theoretic framework for flow visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6):1216– 1224, Nov. 2010. [74] H. Yu, C. Wang, C.-K. Shene, and J. H. Chen. Hierarchical streamline bundles. IEEE Transactions on Visualization and Computer Graphics, 18(8):1353–1367, Aug. 2012. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54213 | - |
dc.description.abstract | 立體資料的視覺化(volume visualization) 是一個普遍被應用在科學計算和醫學影像上的技術,根據輸入資料本身的特性,則又可分為對於純量場(scalar field) 的立體渲染(volume rendering);以及向量場中流場的視覺化(flow visualization) 等多種不同技巧。在本論文中,我們開發出三個強化立體渲染的技術;接著提出一個將向量場轉換成純量場的方法,使得我們的方法能被應用在流場的視覺化中。立體渲染的成像有三個關鍵議題,它們分別是:分類(classification)、打光(lighting)、和透明結構三維至二維的投影(3D to 2D projection),如果沒有恰當地分類出令人關注的特徵,資料就無法正確被解讀;而如果沒有適當的打光,使用者就不能對資料擁有足夠的空間感;這兩者再加上從三維結構投射到二維影像所造成的維度縮減(dimension reduction),造成歧異(ambiguities) 的現象。基於分類、打光、和感知(perception) 等技術,我們提出消除歧異的新方法,對於分類,我們結合體素(voxel) 的位置和強度後做維度縮減,產生二維的特徵空間,特徵空間與原始的體素強度所組合而成的三維轉換,可以對原始資料產生較好的群聚性(clustering),使得不同的材質(materials) 可以簡單地被分類出來。對於打光,我們提出一個新的打光模型能即時地趨近多盞光源所產生的效果,這個模型可以容易地被延伸到切平面(plane cutting) 和最大強度投影(maximum intensity projection) 等方法上,讓使用者能洞察資料的內部結構;對於感知,我們則是利用視覺暫留的技巧配合立體成像(stereoscopic displays) 來強化透明立體資料的三維感知,並以使用者測試來驗證其效果。我們並且將這些技術推展到向量場的視覺化,以克服在三維空間下普遍面臨到的遮蔽(occlusion) 問題。相對於傳統上尋找流線(streamline) 的方法,我們統計粒子(particles)在體素間的相互流動(transitions),再以馬可夫鍊(Markov chain) 將向量場轉化為純量場,經由實驗顯示,這個轉換可以描述出整個向量場的大致型態,並且可以搭配我們開發的立體渲染技術來消除向量場所形成的歧異。 | zh_TW |
dc.description.abstract | Volume visualization is a widely used technique for scientific computing and medical imaging. According to the different types of input data, several methods were developed for visualization, such as volume rendering for scalar fields and flow visualization for vector fields. In this thesis, we develop three approaches to improve the rendering results of volume rendering and then provide a method to transform vector data into scalar data so that our methods can be applied to flow visualization. There are three critical issues in volume rendering: classification, lighting, and 3D to 2D projection of transparent structures. Without proper classification to show interesting features, it is impossible to correctly interpret the volume data. Without lighting properly, users cannot gain sufficient spatial perception. In addition, volume rendering projects multiple transparent structures into an image plane and blends them together, so ambiguities are caused by these factors. Therefore, based on the classification, lighting and perception approaches, we propose novel methods to resolve the ambiguities. With classification, only voxels’ location and intensity are combined and reduced in dimensionality to form a 2D feature space. Augmented with intensity, the new 3D space can generate a better clustering for original data such that different materials can be easily classified. For lighting, a new lighting model is proposed to interactively approximate the effect of multiple lights. This model can be easily extended to plane cutting and maximum intensity projection to allow users to view the interior of the volume better. With perception, a thaumatrope approach is implemented on a stereoscopic display to enhance spatial perception of transparent volume data and a user study was performed to verify the effectiveness. Moreover, these methods are utilized in the field of flow visualization for solving the generally faced occlusion problem in a 3D vector field. In contrast to the traditional methods based on streamline tracking, we static the transitions of all voxles and then transform the vector field to a scalar field using a Markov chain. The experiments show that the clustered result makes a brief description of the original vector field and can co-operate with our volume rendering methods for disambiguation. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T02:45:00Z (GMT). No. of bitstreams: 1 ntu-104-D98944007-1.pdf: 18454341 bytes, checksum: ee83369f1d3bf83129fd92ad34775902 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 誌謝iii
摘要v Abstract vii 1 Introduction 1 1.1 Volume Rendering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Flow Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Dissertation Organization . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Related Work 5 2.1 Volume Rendering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.2 Lighting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.3 Perception . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2 Flow Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Classification Approach 11 3.1 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3.2 Feature Space Projection . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.3 Transfer Function Manipulation . . . . . . . . . . . . . . . . . . . . . . 14 3.4 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 4 Lighting Approach 21 4.1 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.2 Attenuation Maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 4.3 Light Approximations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.4 Explorative Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 4.5 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 5 Perception Approach 31 5.1 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 5.2 The Additional Cue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 5.3 Visual Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 5.3.1 Feature Masking . . . . . . . . . . . . . . . . . . . . . . . . . . 36 5.3.2 Luminance Mapping . . . . . . . . . . . . . . . . . . . . . . . . 37 5.3.3 Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 5.4 User Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 5.4.1 Comparison with the Traditional Method . . . . . . . . . . . . . 42 5.4.2 Comparison with the Static Combination . . . . . . . . . . . . . 44 6 Flow Visualization 47 6.1 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 6.2 Transition Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.3 Time-Homogeneous Markov Chain . . . . . . . . . . . . . . . . . . . . 49 6.4 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.4.1 Cylindrical Flow and Helical Flow . . . . . . . . . . . . . . . . . 51 6.4.2 Flow around a Square Cylinder . . . . . . . . . . . . . . . . . . 52 6.4.3 Hurricane Typhoon . . . . . . . . . . . . . . . . . . . . . . . . . 53 7 Conclusion and Future Work 57 Bibliography 59 | |
dc.language.iso | en | |
dc.title | 視覺化立體影像之歧異去除技術 | zh_TW |
dc.title | Disambiguating Approaches to Volume Visualization | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 歐陽明,李明穗,翁世光,楊傳凱,賴祐吉 | |
dc.subject.keyword | 視算,積體成像,流場視覺化, | zh_TW |
dc.subject.keyword | volume visualization,volume rendering,flow visualization, | en |
dc.relation.page | 67 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-07-20 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
顯示於系所單位: | 資訊網路與多媒體研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-104-1.pdf 目前未授權公開取用 | 18.02 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。