Literatura académica sobre el tema "Object invariants"
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Artículos de revistas sobre el tema "Object invariants"
Samad, Saleha, Anam Haq y Shoab A. Khan. "Orientation Invariant Object Recognitions Using Geometric Moments Invariants and Color Histograms". International Journal of Computer and Electrical Engineering 7, n.º 2 (2015): 101–8. http://dx.doi.org/10.17706/ijcee.2015.v7.876.
Texto completoNGUYEN, THU-TRANG, NINH-THUAN TRUONG y VIET-HA NGUYEN. "VERIFYING JAVA OBJECT INVARIANTS AT RUNTIME". International Journal of Software Engineering and Knowledge Engineering 21, n.º 04 (junio de 2011): 605–19. http://dx.doi.org/10.1142/s0218194011005281.
Texto completoStejskal, Tomáš. "2D-Shape Analysis Using Shape Invariants". Applied Mechanics and Materials 613 (agosto de 2014): 452–57. http://dx.doi.org/10.4028/www.scientific.net/amm.613.452.
Texto completoChang, Bor-Yuh Evan, K. Rustan y M. Leino. "Inferring Object Invariants". Electronic Notes in Theoretical Computer Science 131 (mayo de 2005): 63–74. http://dx.doi.org/10.1016/j.entcs.2005.01.023.
Texto completoPagano, Christopher C. y Michael T. Turvey. "Eigenvectors of the Inertia Tensor and Perceiving the Orientations of Limbs and Objects". Journal of Applied Biomechanics 14, n.º 4 (noviembre de 1998): 331–59. http://dx.doi.org/10.1123/jab.14.4.331.
Texto completoLASENBY, JOAN y EDUARDO BAYRO-CORROCHANO. "ANALYSIS AND COMPUTATION OF PROJECTIVE INVARIANTS FROM MULTIPLE VIEWS IN THE GEOMETRIC ALGEBRA FRAMEWORKS". International Journal of Pattern Recognition and Artificial Intelligence 13, n.º 08 (diciembre de 1999): 1105–21. http://dx.doi.org/10.1142/s0218001499000628.
Texto completoRivlin, Ehud y Isaac Weiss. "Deformation Invariants in Object Recognition". Computer Vision and Image Understanding 65, n.º 1 (enero de 1997): 95–108. http://dx.doi.org/10.1006/cviu.1996.0478.
Texto completoWeiss, Isaac. "Geometric invariants and object recognition". International Journal of Computer Vision 10, n.º 3 (junio de 1993): 207–31. http://dx.doi.org/10.1007/bf01539536.
Texto completoLu, Wei. "Image Retrieval Based on Contour and Relevance Feedback". Applied Mechanics and Materials 182-183 (junio de 2012): 1771–75. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1771.
Texto completoShan, J. "Photogrammetric object description with projective invariants". ISPRS Journal of Photogrammetry and Remote Sensing 52, n.º 5 (octubre de 1997): 222–28. http://dx.doi.org/10.1016/s0924-2716(97)00015-4.
Texto completoTesis sobre el tema "Object invariants"
Self, T. Benjamin (Thomas Benjamin) 1977. "Expression and localization of object invariants". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86498.
Texto completoIncludes bibliographical references (leaf 23).
by T. Benjamin Self.
S.B.and M.Eng.
Vinther, Sven. "Active 3D object recognition using geometric invariants". Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362974.
Texto completoBeis, Jeffrey S. "Indexing without invariants in model-based object recognition". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25014.pdf.
Texto completoZhu, Yonggen. "Feature extraction and 2D/3D object recognition using geometric invariants". Thesis, King's College London (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362731.
Texto completoSoysal, Medeni. "Joint Utilization Of Local Appearance Descriptors And Semi-local Geometry For Multi-view Object Recognition". Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614313/index.pdf.
Texto completos local feature frameworks and previous decade&rsquo
s strong but deserted geometric invariance field are presented in this dissertation. The rationale behind this effort is to complement the lowered discriminative capacity of local features, by the invariant geometric descriptions. Similar to our predecessors, we first start with constrained cases and then extend the applicability of our methods to more general scenarios. Local features approach, on which our methods are established, is reviewed in three parts
namely, detectors, descriptors and the methods of object recognition that employ them. Next, a novel planar object recognition framework that lifts the requirement for exact appearance-based local feature matching is presented. This method enables matching of groups of features by utilizing both appearance information and group geometric descriptions. An under investigated area, scene logo recognition, is selected for real life application of this method. Finally, we present a novel method for three-dimensional (3D) object recognition, which utilizes well-known local features in a more efficient way without any reliance on partial or global planarity. Geometrically consistent local features, which form the crucial basis for object recognition, are identified using affine 3D geometric invariants. The utilization of 3D geometric invariants replaces the classical 2D affine transform estimation /verification step, and provides the ability to directly verify 3D geometric consistency. The accuracy and robustness of the proposed method in highly cluttered scenes with no prior segmentation or post 3D reconstruction requirements, are presented during the experiments.
Wilhelm, Hedwig. "A Neural Network Model of Invariant Object Identification". Doctoral thesis, Universitätsbibliothek Leipzig, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-62050.
Texto completoSrestasathiern, Panu. "View Invariant Planar-Object Recognition". The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420564069.
Texto completoTonge, Ashwini Kishor. "Object Recognition Using Scale-Invariant Chordiogram". Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984116/.
Texto completoDahmen, Jörg. "Invariant image object recognition using Gaussian mixture densities". [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=964586940.
Texto completoBooth, Michael C. A. "Temporal lobe mechanisms for view-invariant object recognition". Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299094.
Texto completoLibros sobre el tema "Object invariants"
Object recognition through invariant indexing. Oxford: Oxford University Press, 1995.
Buscar texto completoLamdan, Yehezkel. Object recognition by affine invariant matching. New York: Courant Institute of Mathematical Sciences, New York University, 1988.
Buscar texto completoGrace, Alan Edward. Adaptive segmentation for aspect invariant object recognition. Birmingham: Universityof Birmingham, 1993.
Buscar texto completoKao, Chang-Lung. Affine invariant matching of noisy objects. Monterey, Calif: Naval Postgraduate School, 1989.
Buscar texto completoHsu, Tao-i. Affine invariant object recognition by voting match techniques. Monterey, Calif: Naval Postgraduate School, 1988.
Buscar texto completoReiss, Thomas H. Recognizing planar objects using invariant image features. Berlin: Springer-Verlag, 1993.
Buscar texto completoReiss, Thomas H., ed. Recognizing Planar Objects Using Invariant Image Features. Berlin/Heidelberg: Springer-Verlag, 1993. http://dx.doi.org/10.1007/bfb0017553.
Texto completoKyrki, Ville. Local and global feature extraction for invariant object recognition. Lappeenranta, Finland: Lappeenranta University of Technology, 2002.
Buscar texto completoGroup, IRIS, ed. Fast learning and invariant object recognition: The sixth-generation breakthrough. New York: Wiley, 1992.
Buscar texto completoSoucek, Branko. Fast learning and invariant object recognition: The sixth-generation breakthrough. New York: Wiley, 1992.
Buscar texto completoCapítulos de libros sobre el tema "Object invariants"
Leino, K. Rustan M. y Peter Müller. "Object Invariants in Dynamic Contexts". En ECOOP 2004 – Object-Oriented Programming, 491–515. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24851-4_22.
Texto completoRothwell, Charles A. "Hierarchical object description using invariants". En Applications of Invariance in Computer Vision, 397–414. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58240-1_21.
Texto completoJackson, Daniel. "Object models as heap invariants". En Monographs in Computer Science, 247–68. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21798-7_12.
Texto completoMuselet, Damien y Brian Funt. "Color Invariants for Object Recognition". En Advanced Color Image Processing and Analysis, 327–76. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-6190-7_10.
Texto completoBalzer, Stephanie y Thomas R. Gross. "Verifying Multi-object Invariants with Relationships". En Lecture Notes in Computer Science, 358–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22655-7_17.
Texto completoNair, Sreeja S., Gustavo Petri y Marc Shapiro. "Proving the Safety of Highly-Available Distributed Objects". En Programming Languages and Systems, 544–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44914-8_20.
Texto completoGopinathan, Madhu y Sriram K. Rajamani. "Runtime Monitoring of Object Invariants with Guarantee". En Runtime Verification, 158–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89247-2_10.
Texto completoNaumann, David A. "Assertion-Based Encapsulation, Object Invariants and Simulations". En Formal Methods for Components and Objects, 251–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11561163_11.
Texto completoHuizing, Kees y Ruurd Kuiper. "Verification of Object Oriented Programs Using Class Invariants". En Fundamental Approaches to Software Engineering, 208–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46428-x_15.
Texto completoLau, K. L., W. C. Siu y N. F. Law. "Improved Scheme for Object Searching Using Moment Invariants". En Advances in Multimedia Information Processing — PCM 2002, 783–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_97.
Texto completoActas de conferencias sobre el tema "Object invariants"
Leino, K. Rustan M. y Angela Wallenburg. "Class-local object invariants". En the 1st conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1342211.1342225.
Texto completoKautsky, Jaroslav, Jan Flusser y Filip Sroubek. "Implicit Invariants and Object Recognition". En 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007). IEEE, 2007. http://dx.doi.org/10.1109/dicta.2007.4426833.
Texto completoFahndrich, Manuel y Songtao Xia. "Establishing object invariants with delayed types". En the 22nd annual ACM SIGPLAN conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1297027.1297052.
Texto completoSummers, Alexander J., Sophia Drossopoulou y Peter Müller. "The need for flexible object invariants". En International Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1562154.1562160.
Texto completoXiao, Bai, Richard Wilson y Edwin Hancock. "Object recognition using graph spectral invariants". En 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761245.
Texto completoGong, Weibo. "Invariants in Object Deformation and Concept Abstraction". En 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619352.
Texto completoTham, Jie Sheng, Yong-Shen Chen, Mohammad Faizal Ahmad Fauzi y Yoong Choon Chang. "Depth image object recognition using moment invariants". En 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2016. http://dx.doi.org/10.1109/icce-tw.2016.7520900.
Texto completoRahtu, E., M. Salo, J. Heikkil y J. Flusser. "Generalized affine moment invariants for object recogn". En 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.599.
Texto completoJannson, Tomasz P. "Manifold geometric invariants and object-centric approach". En International Symposium on Optical Science and Technology, editado por Bruno Bosacchi, David B. Fogel y James C. Bezdek. SPIE, 2002. http://dx.doi.org/10.1117/12.453564.
Texto completoBayro-Corrochano, E. y C. Lopez-Franco. "Invariants and omnidirectional vision for robot object recognition". En 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2005. http://dx.doi.org/10.1109/iros.2005.1545165.
Texto completoInformes sobre el tema "Object invariants"
Weiss, Isaac. Geometric Invariants and Object Recognition. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1992. http://dx.doi.org/10.21236/ada255317.
Texto completoWeiss, Isaac y Manjit Ray. Recognizing Articulated Objects in Range Images Using Invariants. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2002. http://dx.doi.org/10.21236/ada408100.
Texto completoKeren, David, Ehud Rivlin, Han Shimshoni y Isaac Weiss. Recognizing 3D Objects Using Tactile Sensing and Curve Invariants. Fort Belvoir, VA: Defense Technical Information Center, julio de 1997. http://dx.doi.org/10.21236/ada353693.
Texto completoNagao, Kenji y Eric Grimson. Object Recognition by Alignment Using Invariant Projections of Planar Surfaces. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1994. http://dx.doi.org/10.21236/ada279841.
Texto completoVoils, Danny. Scale Invariant Object Recognition Using Cortical Computational Models and a Robotic Platform. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.632.
Texto completoLogothetis, Nikos K., Thomas Vetter, Anya Hurlbert y Tomaso Poggio. View-Based Models of 3D Object Recognition and Class-Specific Invariance. Fort Belvoir, VA: Defense Technical Information Center, abril de 1994. http://dx.doi.org/10.21236/ada279858.
Texto completoKim, Dae-Shik. Predictive Coding Strategies for Invariant Object Recognition and Volitional Motion Control in Neuromorphic Agents. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2015. http://dx.doi.org/10.21236/ada626818.
Texto completoSerre, Thomas y Maximilian Riesenhuber. Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex. Fort Belvoir, VA: Defense Technical Information Center, julio de 2004. http://dx.doi.org/10.21236/ada459692.
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