A Local Image Descriptor Robust to Illumination Changes

نویسندگان

  • Sebastian Zambanini
  • Martin Kampel
چکیده

• Comprehensive evaluation of current image descriptors for scenarios with strong illumination changes that induce complex appearance variations • Proposed Gabor-based descriptor outperforms other descriptors, especially on textureless surfaces [Ala12] Alahi, A., Ortiz, R., Vandergheynst, P.: Freak: Fast retina keypoint. In: CVPR. (2012) 510-517 [Bay08] Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (SURF). CVIU 110(3) (2008) 346-359 [Bro11] Brown, M., Hua, G., Winder, S.: Discriminative learning of local image descriptors. PAMI 33(1) (2011) 43-57 [Fan12] Fan, B., Wu, F., Hu, Z.: Rotationally invariant descriptors using intensity order pooling. PAMI 34(10) (2012) 2031-2045 [Geu05] Geusebroek, J., Burghouts, G., Smeulders, A.: The Amsterdam library of object images. IJCV 61(1) (2005) 103-112 [Kan11] Kaneva, B., Torralba, A., Freeman, W.: Evaluation of image features using a photorealistic virtual world. In: ICCV. (2011) 2282-2289 [Kob08] Kobayashi, T., Otsu, N.: Image feature extraction using gradient local autocorrelations. In: ECCV. (2008) 346-358 [Low04] Lowe, D.: Distinctive image features from scale-invariant keypoints. IJCV 60(2) (2004) 91-110 [Osa07] Osadchy, M., Jacobs, D., Lindenbaum, M.: Surface dependent representations for illumination insensitive image comparison. PAMI 29(1) (2007) 98-111 [Tol10] Tola, E., Lepetit, V., Fua, P.: Daisy: An e cient dense descriptor applied to wide-baseline stereo. PAMI 32(5) (2010) 815-830 [Wan11] Wang, Z., Fan, B., Wu, F.: Local intensity order pattern for feature description. In: ICCV. (2011) 603-610 • Powerful local image descriptors are insensitive to certain image transformations like rotation, scaling or blurring • We focus on insensitivity to illumination changes on NONFLAT, TEXTURELESS OBJECT PARTS

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Robust Descriptor for Color Texture Classification Under Varying Illumination

Classifying color textures under varying illumination sources remains challenging. To address this issue, this paper introduces a new descriptor for color texture classification, which is robust to changes in the scene illumination. The proposed descriptor, named Color Intensity Local Mapped Pattern (CILMP), incorporates relevant information about the color and texture patterns from the image i...

متن کامل

Image authentication using LBP-based perceptual image hashing

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...

متن کامل

Extended color local mapped pattern for color texture classification under varying illumination

This paper presents a color–texture descriptor based on the local mapped pattern approach for color–texture classification under different lighting conditions. The proposed descriptor, namely extended color local mapped pattern (ECLMP), considers the magnitude of the color vectors inside the RGB cube to extract color–texture information from the images. These features are combined with texture ...

متن کامل

An Illumination Invariant Image Descriptor for Color Image Matching

Color image descriptors have been used extensively and successfully in many computer vision applications. However, object colors are sensitive to illumination changes which in turns will affect the performance of object recognition if the image descriptors used are not robust to these changes. To increase photometric invariance and discriminative power, this study proposes an image descriptor f...

متن کامل

تغییرات جدید الگوی دودویی محلی و طبقه بندی و قسمت بندی تصاویر بافتی بستر دریا

Texture analysis plays an important role in image processing. Considering the extraordinary appearance texture sonar images, texture analysis are good choices for analysis of acoustic seabed images. Local binary pattern (LBP) operator is a very efficient and multi-resolution texture descriptor. It acquires appropriate information from the illumination and moods of images. Despite many developin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013