Object recognition with less requirements (特集 電気関係学会関西連合大会)

スポンサーリンク

概要

• 論文の詳細を見る

• In recent years remarkable results have been achieved in the field of object recognition. Recognition performance of more than 90% are not rare anymore leading to the conclusion of an application beyond scientific fields. However, such a high performance is often a result of unrealistic constraints of the images to be recognized and the use-cases which are only applicable in controlled laboratory environments. In this paper we propose a system working even under difficult conditions and achieving higher recognition performance as compared to other state-of-the-art systems.

著者

• Kise Koichi

  Department Of Computer Science And Intelligent Systems Graduate School Of Engineering Osaka Prefectu

• Klinkigt Martin

  Department Of Computer Science And Intelligent Systems Osaka Prefecture University

関連論文

• Position detection for a camera pen using LLAH and dot patterns (パターン認識・メディア理解)
• Object detection in images with cluttered background by using local features and their configuration (パターン認識・メディア理解)
• Position detection for a camera pen using LLAH and dot patterns (ヒューマン情報処理)
• Copyright Protection of Images Based on Large-Scale Image Recognition(International Session 1)
• Document Image Retrieval for QA Systems Based on the Density Distributions of Successive Terms(Document Image Retrieval, Document Image Understanding and Digital Documents)
• Object recognition with less requirements (特集 電気関係学会関西連合大会)
• Object recognition with less requirements (特集 電気関係学会関西連合大会)

スポンサーリンク