Estimation of rotation between two frames of a scene

An algorithm is proposed in order to estimate the rotation between two frames of a scene. Only linear segments and their geometric attributes are used and the algorithm is based on the correlation of the slope angle histograms of linear segments extracted from two frames. The basic idea is that from one frame to the other, if the camera rotates theta(r) degrees, linear segments will also be rotated by theta(r) degrees. In order to alleviate computational complexity a coarse to fine approach is proposed. The algorithm can be employed for image analysis tasks such as matching, registration, mosaicing images. Targeted applications are mainly in the domain of aerial images of man-made sites, and they cover the analysis of time-varying images. The algorithm is tested on both synthetic and real images. Synthetic frames are generated by a program which simulates, via its parameters similar effects as real image


Estimation of Locally Stationary Graph Processes from Incomplete Realizations
Canbolat, Abdullah; Vural, Elif (2022-01-01)
© 2022 IEEE.Stationarity is a well-studied concept in signal processing and the concept of stationary random processes has been extended to graph domains in several recent works. Meanwhile, in many scenarios a globally stationary process model may fail to accurately represent the correlation patterns of the data on the whole graph, e.g. when data is acquired on big graphs or when the behavior of the process varies significantly throughout the graph. In this work, we first propose a locally stationary graph ...
Turetken, Engin; Alatan, Abdullah Aydın (2009-05-06)
A new region-based depth ordering algorithm is proposed based on the segmented motion layers with affine motion models. Starting from an initial set of layers that are independently extracted for each frame of an input sequence, relative depth order of every layer is determined following a bottom-to-top approach from local pair-wise relations to a global ordering. Layer sets of consecutive time instants are warped in two opposite directions in time to capture pair-wise occlusion relations of neighboring lay...
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...
Optimization of non-uniform planar array geometry for direction of arrival estimation
Birinci, Toygar; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2006)
In this work, a novel method is proposed to optimize the array geometry for DOA estimation. The method is based on minimization of fine error variances with the constraint that the gross error probability is below a certain threshold. For this purpose, a metric function that reflects the gross and fine error characteristics of the array is offered. Theoretical analyses show that the minimization of this metric function leads to small DOA estimation error variance and small gross error probability. Analyses ...
Estimation of depth fields suitable for video compression based on 3-D structure and motion of objects
Alatan, Abdullah Aydın (Institute of Electrical and Electronics Engineers (IEEE), 1998-6)
Intensity prediction along motion trajectories removes temporal redundancy considerably in video compression algorithms. In three-dimensional (3-D) object-based video coding, both 3-D motion and depth values are required for temporal prediction. The required 3-D motion parameters for each object are found by the correspondence-based E-matrix method. The estimation of the correspondences-two-dimensional (2-D) motion field-between the frames and segmentation of the scene into objects are achieved simultaneous...
Citation Formats
M. V. Atalay, “Estimation of rotation between two frames of a scene,” 1998, vol. 3387, Accessed: 00, 2020. [Online]. Available: