Translating images to words : a novel approach for object recognition

Shape : representation, description, similarity and recognition Arıca, Nafiz; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2003) In this thesis, we study the shape analysis problem and propose new methods for shape description, similarity and recognition. Firstly, we introduce a new shape descriptor in a two-step method. In the first step, the 2-D shape information is mapped into a set of 1-D functions. The mapping is based on the beams, which are originated from a boundary point, connecting that point with the rest of the points on the boundary. At each point, the angle between a pair of beams is taken as a random variable to define...
Prioritized sequential 3D reconstruction in video sequences with multiple motions Imre, Evren; Knorr, Sebastian; Alatan, Abdullah Aydın; Sikora, Thomas (2006-10-11) in this study, an algorithm is proposed to solve the multi-frame structure from motion (MFSfM) problem for monocular video sequences in dynamic scenes. The algorithm uses the epipolar criterion to segment the features belonging to independently moving objects. Once the features are segmented, corresponding objects are reconstructed individually by using a sequential algorithm, which is also capable of prioritizing the frame pairs with respect to their reliability and information content, thus achieving a fa...
Analysis of border ownership cues and improvement of depth prediction using border ownership Akkuş, Mehmet Akif; Kalkan, Sinan; Department of Computer Engineering (2014) Border Ownership is the problem of identifying which image regions own the image border. This information is essential and important for large variety of high-level vision problems such as object segmentation, object recognition, depth perception, motion perception etc. Current computational approaches to Border Ownership (BO) estimation either use artificial or limited number of real images. In this thesis, we propose a new comprehensive BO database, including 500 indoor and 500 outdoor images whose BO inf...
Structural transfer in an English to Turkish machine translation system Turhan, Çigdem Keyder; Tolun, Mehmet; Department of Computer Engineering (1998)
Representing images and regions for object recognition Buzcu, İlker; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2015) We can represent images in entirely different ways, in order to fulfill different purposes. For object recognition, power of a representation comes from its discriminative ability. In this thesis work, handcrafted representations that dominated the last decade of computer vision are evaluated against the current paradigm of Deep Learning, to try and pinpoint the reasons behind why and how the fairly old Artificial Neural Network (ANN) framework suddenly emerged as the state of the art in discriminative repr...

Citation Formats

P. Duygulu Şahin, “Translating images to words : a novel approach for object recognition,” Ph.D. - Doctoral Program, Middle East Technical University, 2003.