0000000000870769

AUTHOR

Bruno Mirbach

showing 2 related works from this author

Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration

2019

Complete and textured 3D reconstruction of dynamic scenes has been facilitated by mapped RGB and depth information acquired by RGB-D cameras based multi-view systems. One of the most critical steps in such multi-view systems is to determine the relative poses of all cameras via a process known as extrinsic calibration. In this work, we propose a sensor fusion framework based on a weighted bi-objective optimization for refinement of extrinsic calibration tailored for RGB-D multi-view systems. The weighted bi-objective cost function, which makes use of 2D information from RGB images and 3D information from depth images, is analytically derived via the Maximum Likelihood (ML) method. The weigh…

FOS: Computer and information sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
researchProduct

Depth Enhancement by Fusion for Passive and Active Sensing

2012

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose …

Homogeneous regionsComputer scienceActive SensingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensing systemsTime-of-flight camerasPassive and active sensing: Electrical & electronics engineering [C06] [Engineering computing & technology]Depth mapTriangulation methodComputer vision: Computer science [C05] [Engineering computing & technology]: Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie]Signal processingStereo camerasPassive sensingbusiness.industrySensorsPassive filtersTriangulation (computer vision)Depth enhancementData fusionSensor fusionCameras: Sciences informatiques [C05] [Ingénierie informatique & technologie]Depth sensingSpecial treatmentsDepth valueRGB color modelComputer visionArtificial intelligenceEnhanced Data Rates for GSM EvolutionDepth MapbusinessDepth measurementsStereo cameraStereo cameras
researchProduct