FeMIP: detector-free feature matching for multimodal images with policy gradient Feature matching for multimodal images is an important task in image processing. However, most methods perform image feature detection, description, and ma... Y Di,Y Liao,Zhou, HaoZhu, KaijunZhang, YijiaDuan, QingLi...
Sign in to download full-size image Figure 14.2.Fixed Cycle Mode collaboration strategy 1. The UAV problem is far larger, but the strategy works because the object analysis is performed on use cases of the subsystems rather than the system as a whole. However, it can still be a complex t...
Researchers are designing new clinical diagnostic tools and multimodal microscopic systems around PAM to fully unleash its potential. However, the sizeable and opaque piezoelectric ultrasonic detectors commonly used in PAM impose a serious constraint. Our solution is a coverslip-style optically transparent ...
Deep residual learning for image recognition. In Proceed- ings of the IEEE conference on computer vision and pattern recognition, pages 770–778, 2016. [11] Stefan Hinterstoisser, Stefan Holzer, Cedric Cagniart, Slobo- dan Ilic, Kurt Konolige, Nassir Navab, and Vincent Lepetit. Multimodal ...
doi:WO2009148590 A2ADEBIMPE DAVIDWOWO2009148590A2 * Jun 3, 2009 Dec 10, 2009 David Adebimpe A creature-machine hybrid detector system for the autonomous and multimodal detection of illicit and hazardous materials
This work introduces a novel detector, bounded false-alarm rate (BFAR), for distinguishing true detections from noise in radar data, leading to improved ac
Many algorithms for computer vision rely on locating interest points, or keypoints in each image, and calculating a feature description from the pixel region surrounding the interest point. This is in contrast to methods such as correlation, where a larg
A device and a system, based upon Deep Optical Scanning (DEOS), for the detection of certain cancers such as breast cancer and the determination of their response to therapy. DEOS i
Creature-machine hybrid detector system for the autonomous and multimodal detection of illicit and hazardous materialsThe present invention relates to a creature-machine hybrid detector system capable of autonomously detecting illicit and hazardous materials. This hybrid detector comprises of an explosives ...
Creature-machine hybrid detector system for the autonomous and multimodal detection of illicit and hazardous materialsThe present invention relates to a creature-machine hybrid detector system capable of autonomously detecting illicit and hazardous materials. This hybrid detector comprises of an explosives ...