Automatic object annotation in streamed and remotely explored large 3D reconstructions
Sign Up to like & getrecommendations! Published in 2021 at "Computational Visual Media"
DOI: 10.1007/s41095-020-0194-4
Abstract: We introduce a novel framework for 3D scene reconstruction with simultaneous object annotation, using a pre-trained 2D convolutional neural network (CNN), incremental data streaming, and remote exploration, with a virtual reality setup. It enables versatile… read more here.
Keywords: reconstruction; time; annotation; object annotation ... See more keywords
Automatic Object Removal With Obstructed Façades Completion Using Semantic Segmentation and Generative Adversarial Inpainting
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3106124
Abstract: Automatic object removal with obstructed façades completion in the urban environment is essential for many applications such as scene restoration, environmental impact assessment, and urban mapping. However, the previous object removal typically requires a user… read more here.
Keywords: image; removal; object removal; automatic object ... See more keywords
Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2018.2841002
Abstract: Automatic object searching is one of the essential skills for domestic robots to operate in unstructured human environments. It involves concatenation of several capabilities, including object identification, obstacle avoidance, path planning, and navigation. In this… read more here.
Keywords: automatic object; behavior learning; object searching; belief networks ... See more keywords