画像処理装置及びその方法

Image processor and its method

Abstract

【課題】画像を用いた物体認識において識別率の低下の原因となる照明変動の影響をなるべく受けずに識別を行うため、フィルタ処理を入力画像に対して適用すること、物体固有の特徴量を抽出する発明を提案する。 【解決手段】物体認識装置100は、画像入力部101、対象検出部102、拡散反射画像生成部103、対象モデル格納部104、差分画像生成部105、重み算出部106、重み付きガウシアンフィルタ適用部107、フィルタ処理部108、識別部109からなる。入力画像の各画素の照明条件や反射特性の違いを考慮して重み付きガウシアンフィルタに与える重みを決定し、フィルタ処理を適用する。 【選択図】 図1
<P>PROBLEM TO BE SOLVED: To apply filtering processing to input images in order to perform identification without, if possible, being influenced by illumination fluctuation to be the cause of the decline of an identification rate in object recognition using images, and to extract a feature amount intrinsic to an object. <P>SOLUTION: An object recognition device 100 comprises an image input part 101, an object detection part 102, a diffuse reflection image generation part 103, an object model storage part 104, a difference image generation part 105, a weight calculation part 106, a weighted gaussian filter application part 107, a filtering processing part 108, and an identification part 109. Weight to be given to a weighted gaussian filter is decided by considering the illumination conditions of respective pixels of the input image and the difference of reflection characteristics, and the filtering processing is applied. <P>COPYRIGHT: (C)2007,JPO&INPIT

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