While capturing images of a scene, the relative motion between the camera and the scene during exposure leads to motion-blur in images. The convolution model for motion-blur is applicable only when the camera motion is restricted to in-plane translations. Blur arising due to rotation and out-of-plane translation of camera cannot be modeled using convolution with a single blur kernel [3, 5, 6]. ...

The use of unmanned air vehicle (UAV) images acquired by a non-metric digital camera to establish an image network is difficult in cases without accurate camera model parameters. Although an image network can be generated by continuously calculating camera model parameters during data processing as an incremental structure from motion (SfM) methods, the process is time consuming. In this study,...

This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (...

Thermal image is an image that shows the thermal or temperature properties of an object. Thermal image of an object is obtained from a thermal infrared camera. This camera works by employing radiative heat transfer principles and uses sensors to capture the radiated energy of an object. Thermal image of an object in the real world which is captured by a thermal camera is a real thermal image of...

⎯ This paper is to present vision based motion analysis for human-robot interaction, which analyzes camera motion and human motion. Motion of camera is compensated by comparing edge features among consecutive image frames. Candidate regions of human motion are found by differencing between transformed t image and t-1 image. Human motion is finally decided by image features and motion analysis. ...

A hybrid image registration method for the purpose of stabilizing a video captured by a moving camera is presented. The following assumptions are made: 1) The provided video contains moving targets. 2) The camera capturing the video is sufficiently far from the scene so that variation in scene depth across an image is negligible compared to the distance of the camera to the scene. 3) The area c...

A high-speed camera that combines a customized rotating mirror camera frame with charge coupled device ~CCD! image detectors and is practically fully operated by computer control was constructed. High sensitivity CCDs are used so that image intensifiers, which would degrade image quality, are not necessary. Customized electronics and instruments were used to improve the flexibility and control ...

where Kθ is the matrix that warps latent image L to the transformed copy at a sampled pose θ and S denotes the set of sampled camera poses. While these algorithms show promising results, they entail high computational cost as the high-dimensional camera motion space and the latent image have to be computed during the iterative optimization procedures. In this paper, we propose a fast single-ima...

In general, analysing cameras is a difficult problem and solutions are often found only for geometric approach. In this paper, the image capturing capability of a camera is presented from optical perspective. Since most compact cameras can acquire only visible light, the description and propagation method of the visible part of the electromagnetic spectrum reflected by a scene object is made ba...

A method for computing the 3D camera motion (the egomotion) in a static scene is described, where initially a detected 2D motion between two frames is used to align corresponding image regions. We prove that such a 2D registration removes all effects of camera rotation, even for those image regions that remain misaligned. The resulting residual parallax displacement field between the two region...