___

• Agarwala A, Agrawala M, Cohen M, Salesin D, Szeliski R (2006). Photograping long scenes with multi-viewpoint panoramas. ACM Trans. on Graphics (SIGGRAPH). 25(3): 853-861.
• Brown M, Lowe DG (2003). Recognizing panoramas. Proc. 9th IEEE Int’l Conference on Computer Vision (ICCV). 2: 1218-1225.
• Brown M, Lowe DG (2007). Automatic panoramic image stitching using invariant features. Int’l Journal of Computer Vision (IJCV). 74(1): 59-73.
• Baumberg A (2000). Reliable feature matching across widely separated views. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1: 774-781.
• Goedeme T, Tuytelaars T, Van-Gool L (2004). Fast wide baseline matching for visual navigation. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1: 24-29.
• Kannala J, Brandt SS (2007). Quasi-dense wide baseline matching using match propagation. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1-8.
• Lee JA, Yow KC, Chia YS (2009). Robust matching of building facades under large viewpoint changes. Proc. 12th IEEE Int’l Conference on Computer Vision (ICCV). 1258-1264
• Katare A, Mitra SK, Banerjee A (2007). Content based image retrieval system for multi object images using combined features. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 595-599
• Wang J, Zha H, Cipolla R (2005). Combining interest points and edges for content-based image retrieval. Proc. 12th IEEE Int’l Conference on Image Processing (ICIP). 3: 1256-1259
• Belongie S, Malik J, Puzicha J (2002). Shape matching and object recognition using shape contexts. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI). 23(4): 509-522
• Frome A, Huber D, Kolluri R, Billow T, Malik J (2004). Recognizing objects in range data using regional point descriptors. Proc. 8th European Conference on Computer Vision (ECCV). 3: 224-237
• Lowe DG (2004). Distinctive image features from scale-invariant keypoints. Int’l Journal of Computer Vision (IJCV). 60(2): 91-110
• Leordeanu M, Hebert M, Sukthankar R (2007). Beyond local appearance: Category recognition from pairwise interactions of simple features. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1-8
• Mikolajczyk K, Leibe B, Schiele B (2006). Multiple object class detection with a generative model. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1: 26-36
• Mutch J, Lowe DG (2006). Multiclass object recognition with sparse, localized features. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1: 11-18.
• Mikolajczyk K, Schmid C (2005). A performance evaluation of local descriptors. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI). 27(10): 1615-1630
• Bay H, Tuytelaars T, Van-Gool L (2006). SURF: Speeded Up Robust Features. Proc. 9th European Conference on Computer Vision (ECCV). 1: 404-417
• Lowe DG (2001). Local feature view clustering for 3D object recognition. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). 1: 682-688
• Se S, Lowe DG, Little J (2002). Global localization using distinctive visual features. Proc. IEEE/RSJ Int’l Conference on Intelligent Robots and Systems (IROS). 226-231
• Fischler MA., Bolles RC. (1981). Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM. 24 (6). 381-395
• Hartley RI, Zisserman A (2000). Multiple View Geometry in Computer Vision. Cambridge University Press UK
• Nister D., Stewenius H (2006). Scale recognition with a vocabulary tree. Proc. IEEE Computer Society Int’l Conference on Computer Vision and Pattern Recognition (CVPR). Vol. 2. pp. 2161-2168
• Ballard DH (1981). Generalizing the hough transform to detect arbitrary shapes. Pattern Recognition (PR). 13 (2). 111-122
• Grimson WEL (1990). Object Recognition by Computer: The Role of Geometric Constraints. The MIT Press Cambridge. 263-284
• Hough PVC (1962). Method and means for recognizing complex patterns. U.S. Patent 3069654
• Fredman M (1975). On computing the length of longest increasing subsequences. Discrete Mathematics. 11 (1). 29-35
• Faugeras O (1993). Three-Dimensional Computer Vision: A Geometric Viewpoint. The MIT Press Cambridge
• Chandrasekhar V, Chen DM, Tsai SS, Cheung NM, Chen H, Takacs G, Reznik Y, Vedantham R, Grzeszczuk R, Bach J, Girod B (2011). The stanford mobile visual search data set. Proc. 2nd Annual ACM SIGMM Conference on Multimedia Systems (MMSys). 117-122