發(fā)布時間：2018-09-10 11:40

【摘要】：對結(jié)構(gòu)化室內(nèi)場景的空域布局結(jié)構(gòu)進(jìn)行估計是計算機(jī)視覺領(lǐng)域的研究熱點之一.然而,對于內(nèi)部堆放了眾多雜亂物體的室內(nèi)場景,現(xiàn)有的大多數(shù)方法容易受到各種物體遮擋的影響而無法對這一類場景的布局結(jié)構(gòu)進(jìn)行準(zhǔn)確推理.為此,本文方法充分考慮了房間和物體之間的幾何和語義關(guān)聯(lián)性,參數(shù)化地對房間和內(nèi)部物體的三維體積分別進(jìn)行描述,并且提出利用多種高層圖像語義來獲取物體的先驗信息.此外,還在此基礎(chǔ)上加入了空域排他性和空域位置等多種空域約束,進(jìn)而在改進(jìn)室內(nèi)場景空域布局估計的同時為物體的識別和定位提供關(guān)鍵信息.本文方法不僅具有較低的求解復(fù)雜度,而且通過試驗表明相比于現(xiàn)有的經(jīng)典方法在雜亂的室內(nèi)場景中能夠取得更為魯棒的空域布局推理結(jié)果.
[Abstract]:Estimating the spatial layout of structured interior scene is one of the hot topics in the field of computer vision. However most of the existing methods are vulnerable to the influence of various objects and can not infer the layout structure of this kind of scene accurately. In this paper, the geometric and semantic correlations between the room and the object are fully considered, and the three-dimensional volume of the room and the internal object are parameterized respectively. And a variety of high-level image semantics are proposed to obtain the prior information of objects. In addition, a variety of airspace constraints, such as spatial exclusivity and spatial location, are added to improve the spatial layout estimation of indoor scenes and provide key information for object recognition and location. The proposed method not only has a lower complexity, but also shows that compared with the existing classical methods, it can obtain more robust spatial layout reasoning results than the existing classical methods in cluttered indoor scenes.
【作者單位】： 寧波工程學(xué)院電信學(xué)院;浙江大學(xué)信息與電子工程學(xué)院;
【基金】：浙江省自然科學(xué)基金(LQ15F020004) 浙江省公益類技術(shù)研究項目(2016C33255) 寧波市自然科學(xué)基金(2015A610132,2013A610113)資助~~
【分類號】：TP391.41
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本文編號：2234329