Large-scale Real-time Object Identification Based on Analytic Features
نویسندگان
چکیده
منابع مشابه
Large-Scale Real-Time Object Identification Based on Analytic Features
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. In contrast to related work, we do not restrict the objects’ pose to characteristic views but rotate them freely in hand in front of a cluttered background. We describe the essential system’s ingredients, like prototype-based figure-ground segmentation, extra...
متن کاملReal-Time Object Recognition Based on Cortical Multi-scale Keypoints
In recent years, a large number of impressive object categorisation algorithms have surfaced, both computational and biologically motivated. While results on standardised benchmarks are impressive, very few of the best-performing algorithms took run-time performance into account, rendering most of them useless for real-time active vision scenarios such as cognitive robots. In this paper, we com...
متن کاملReal-time simulation of large-scale neural architectures for visual features computation based on GPU.
The intrinsic parallelism of visual neural architectures based on distributed hierarchical layers is well suited to be implemented on the multi-core architectures of modern graphics cards. The design strategies that allow us to optimally take advantage of such parallelism, in order to efficiently map on GPU the hierarchy of layers and the canonical neural computations, are proposed. Specifically...
متن کاملDeveloping a New Method in Object Based Classification to Updating Large Scale Maps with Emphasis on Building Feature
According to the cities expansion, updating urban maps for urban planning is important and its effectiveness is depend on the information extraction / change detection accuracy. Information extraction methods are divided into two groups, including Pixel-Based (PB) and Object-Based (OB). OB analysis has overcome the limitations of PB analysis (producing salt-pepper results and features with hole...
متن کاملReal-time CPU-based large-scale 3D mesh reconstruction
In Robotics, especially in this era of autonomous driving, mapping is one key ability of a robot to be able to navigate through an environment, localize on it and analyze its traversability. To allow for real-time execution on constrained hardware, the map usually estimated by feature-based or semidense SLAM algorithms is a sparse point cloud; a richer and more complete representation of the en...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2009
ISSN: 1662-5188
DOI: 10.3389/conf.neuro.10.2009.14.010