Patient motion artifacts are often visible in densely sampled or large wide field-of-view (FOV) retinal optical coherence tomography (OCT) volumes. A popular strategy for reducing motion artifacts is to capture two orthogonally oriented volumetric scans. However, due to larger volume sizes, longer acquisition times, and corresponding larger motion artifacts, the registration of wide FOV scans r...

Patient dose reduction in C-arm computed tomography by volume-of-interest (VOI) imaging is becoming an interesting topic for many clinical applications. One limitation of VOI imaging that remains is the truncation artifact in the reconstructed 3-D volume. This artifact can either be a cupping effect towards the boundaries of the field-of-view (FOV) or an offset in the Hounsfield values of the r...

For fast egomotion of a camera, computing feature correspondence and motion parameters by global search becomes highly timeconsuming. Therefore, the complexity of the estimation needs to be reduced for real-time applications. In this paper, we propose a compound omnidirectional vision sensor and an algorithm for estimating its fast egomotion. The proposed sensor has both multi-baselines and a l...

In Virtual Reality, considerable systematic spatial orientation problems frequently occur that do not happen in comparable real-world situations. This study investigated possible origins of these problems by examining the influence of visual field of view (FOV) and type of display device (head-mounted display (HMD) vs. projection screens) on basic human spatial orientation behavior. In Experime...

It is difficult to design and fabricate a head-up display (HUD) with a large asymmetric field of view (FOV) while maintaining a good image quality. In this paper, we design and develop such a holographic HUD system. To improve luminance and enhance the environmental adaptability of the HUD, we use a liquid crystal display with high brightness as well as a holographic reflection element. The ver...

Machine learning is a promising technique for angle-of-arrival (AOA) estimation of waves impinging sensor array. However, the majority methods proposed so far only consider known, fixed number waves, i.e., sources (NOS). This paper proposes machine-learning-based estimator designed case when NOS variable and hence unknown priori. The comprises framework single-label classifiers. Each classifier...

Fusarium wilt (FW) disease of cotton, caused by the fungus oxysporum f. sp. vasinfectum (Fov), causes severe losses in cotton production worldwide. Though significant advancements have been made development FW-resistant Upland (Gossypium hirsutum) resistance screening programs, precise genes and corresponding molecular mechanisms for to Fov remain unclear. Herein it is reported that Fov7, a gen...

The basic idea behind Evolutionary Robotics is to evolve a set of neural controllers for a particular task at hand. It involves use of various input parameters such as Infra-red sensors, light sensors and vision based methods. This paper aims to explore the evolution of vision based navigation in a mobile robot. It discusses in detail the effect of different field of views for a mobile robot. T...

The capability to perform high-resolution, wide field-of-view (FOV) microscopy imaging is highly sought after in biomedical applications. In this paper, we report a wide FOV microscopy system that uses a closed-circuit-television (CCTV) lens for image relay and a flatbed scanner for data acquisition. We show that such an imaging system is capable of capturing a 10 mm × 7.5 mm FOV image with 0.7...

in this paper, a new approach to overlapping operations in job shop scheduling is presented. in many job shops, a customer demand can be met in more than one way for each job, where demand determines the quantity of each finished job ordered by a customer. in each job, embedded operations can be performed due to overlapping considerations in which each operation may be overlapped with the other...