Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure and loop closure detection. Recent random forests based methods exploit randomly sampled pixel comparison features to predict 3D world locations for 2D image locations to guide the camera pose optimization. However, these image features are only sampled randomly in the images, without considering the spatial structures or geometric information, leading to large errors or failure cases with the existence of poorly textured areas or in motion blur. Line segment features are more robust in these environments. In this work, we propose to jointly exploit points and lines within the framework of uncertainty driven regression forests. The proposed approach is thoroughly evaluated on three publicly available datasets against several strong state-of-the-art baselines in terms of several different error metrics. Experimental results prove the efficacy of our method, showing superior or on-par state-of-the-art performance.
Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor. Although some new technologies i.e. robotic techniques that are currently in practice can collect objective, quantified data, the inspectors own expertise is still critical in many instances since these technologies are not designed to work interactively with human inspector. This study aims to create a smart, human centered method that offers significant contributions to infrastructure inspection, maintenance, management practice, and safety for the bridge owners. By developing a smart Mixed Reality framework, which can be integrated into a wearable holographic headset device, a bridge inspector, for example, can automatically analyze a certain defect such as a crack that he or she sees on an element, display its dimension information in real-time along with the condition state. Such systems can potentially decrease the time and cost of infrastructure inspections by accelerating essential tasks of the inspector such as defect measurement, condition assessment and data processing to management systems. The human centered artificial intelligence will help the inspector collect more quantified and objective data while incorporating inspectors professional judgement. This study explains in detail the described system and related methodologies of implementing attention guided semi supervised deep learning into mixed reality technology, which interacts with the human inspector during assessment. Thereby, the inspector and the AI will collaborate or communicate for improved visual inspection.
Pedophilia affects up to 5 percent of men, but has been difficult to study, as it is deemed unethical to use real images of children to measure arousal. Now, experts have developed a technique that harnesses that power of virtual reality to present subjects with 3D animations of nude minors in order to monitor their behavior. Patients are strapped with a device that measures blood flow to the penis, while they wear stereoscopic glasses that project digital images on a wall - allowing experts to determine if the individual has pedophilia tendencies. Experts used virtual reality to present subjects with 3D animations of nude children to monitor their behavior. Patients wear a plethysmography, or PPG, which is a cuff-shaped sensor that measures changes in the circumference of the penis based on blood flow.
HP's Sprout Pro is here to remind us that Microsoft's Surface Studio is not the original creativity-oriented PC, let alone the most creative. Two years ago, the original Sprout debuted with integrated cameras that could turn 3D objects into 2D or 3D digital images, and a projector that worked with a unique touch-sensitive workspace to manipulate those objects. But two years ago, the world wasn't AR- and VR-crazed yet--and we were all still suffering under Windows 8. Now, the Sprout Pro brings an upgraded set of talents to a market that may finally be ready for it. Announced Tuesday at CES in Las Vegas, the upgraded Sprout Pro will have Intel's 7th-generation Kaby Lake desktop CPU, specifically the quad-core 2.9GHz Core i7-7700T with integrated Intel HD Graphics 630. The vertical display is a generously sized 23.8-inch Full HD (1920x1080) with 10-point touch.
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