کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
527411 869320 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Light field distortion feature for transparent object classification
ترجمه فارسی عنوان
ویژگی نوردهی نور برای طبقه بندی شفاف
کلمات کلیدی
میدان نور، طبقه بندی شی، ویژگی تحریف کیسه ای از ویژگی های
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• We introduce the light field camera for transparent object classification.
• We model the distortion of the light field caused by a transparent object.
• Background-invariant light field distortion (LFD) feature is proposed.
• Classification for a transparent object can be done by a single light field image.
• Experimental results show our method works well under various conditions.

Local features, such as scale-invariant feature transform (SIFT) and speeded up robust features (SURF), are widely used for describing an object in the applications of visual object recognition and classification. However, these approaches cannot apply to transparent objects made of glass or plastic, as such objects take on the visual features of background scenes, and the appearance of such objects dramatically varies with changes in the scenes. Indeed, transparent objects have the unique characteristic of distorting the background by refraction. In this paper, we use a single-shot light field image as input and model the distortion of the light field caused by the refractive property of a transparent object. We propose a new feature which is called the light field distortion (LFD) feature. The proposed feature is background-invariant so that it is able to describe a transparent object without knowing the texture of the scene. The proposal incorporates this LFD feature into the bag-of-features approach for classifying transparent objects. We evaluated its performance and analyzed the limitations in various settings.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 139, October 2015, Pages 122–135
نویسندگان
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