Learning a Dictionary of Shape Epitomes with Applications to Image Labeling: Supplementary Material

نویسندگان

  • Liang-Chieh Chen
  • George Papandreou
  • Alan L. Yuille
چکیده

In the main paper, we have proposed a new representation for image shape: a dictionary of shape epitomes, which explicitly include hidden variables to encode shift and rotation. We have also applied this representation for semantic image labeling. In this supplementary material, we further show the versatility of shape epitomes by employing them for edge detection and local appearance modeling.

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 Novel Image Denoising Method Based on Incoherent Dictionary Learning and Domain Adaptation Technique

In this paper, a new method for image denoising based on incoherent dictionary learning and domain transfer technique is proposed. The idea of using sparse representation concept is one of the most interesting areas for researchers. The goal of sparse coding is to approximately model the input data as a weighted linear combination of a small number of basis vectors. Two characteristics should b...

متن کامل

Epitome Representation of Images and Notes on Epitome-based Silhouette Generation

Describing the appearance of images is a task common to many computer vision applications. A novel appearance and shape model called epitomes was recently reported and seems to draw some attention in academia. Epitomes are condensed miniatures of images composed of an arrangement of patches from the original image. The result is a compact representation of the textural and shape essence of an i...

متن کامل

Deblocking Joint Photographic Experts Group Compressed Images via Self-learning Sparse Representation

JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...

متن کامل

Patch-Based Image Classification Using Image Epitomes

Automatic image classification has many practical applications, including photo collection organization and image search. In this project I approach the image classification task through the use of image epitomes. The epitome of an image is a probabilistic model that serves as a compact representation of the shape and texture information present in the original image. I first create a collage o...

متن کامل

A New Dictionary Construction Method in Sparse Representation Techniques for Target Detection in Hyperspectral Imagery

Hyperspectral data in Remote Sensing which have been gathered with efficient spectral resolution (about 10 nanometer) contain a plethora of spectral bands (roughly 200 bands). Since precious information about the spectral features of target materials can be extracted from these data, they have been used exclusively in hyperspectral target detection. One of the problem associated with the detect...

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