Texture-Constrained Active Shape Models
نویسندگان
چکیده
In this paper, we propose a texture-constrained active shape model (TC-ASM) to localize a face in an image. TC-ASM effectively incorporates not only the shape prior and local appearance around each landmark, but also the global texture constraint over the shape. Therefore, it performs stable to initialization, accurate in shape localization and robust to illumination variation, with low computational cost. Extensive experiments are provided to demonstrate our algorithm.
منابع مشابه
Face alignment using texture-constrained active shape models
In this paper, we propose a texture-constrained active shape model (TC-ASM) to localize a face in an image. TC-ASM effectively incorporates not only the shape prior and local appearance around each landmark, but also the global texture constraint over the shape. Therefore, it performs stable to initialization, accurate in shape localization and robust to illumination variation, with low computa...
متن کاملShape and Texture Based Deformable Models for Facial Image Analysis
In this chapter, we introduce concepts and algorithms of shape and texture based deformable models, more specifically Active Shape Models (ASM), Active Appearance models (AAM) and Morpahble Models, for for facial image analysis. Such models, learned from training examples, allow admissible deformations under statistical constraints on the shape and/or texture of the pattern of interests. As suc...
متن کاملAutomatic Segmentation of Abdominal Aortic Aneurysm from Magnetic Resonance Images Based on Active Shape Models and Texture Models
A semi-automatic segmentation algorithm for abdominal aortic aneurysms (AAA), and based on Active Shape Models (ASM) and texture models, is presented in this work. The texture information is provided by a set of four 3D magnetic resonance (MR) images, composed of axial slices of the abdomen, where lumen, wall and intraluminal thrombus (ILT) are visible. Due to the reduced number of images in th...
متن کاملCombining Active Shape Models and Active Appearance Models For Accurate Image Interpretation
In this paper, we propose to combine Active Shape Models (ASMs) and Active Appearance Models (AAMs), for reliable image interpretation. In the proposed method, ASM local searching strategy is firstly used, then, besides the statistical shape constraints as in the ASMs, global texture constraint based on the subspace reconstruction error is further exploited to evaluate the fitting degree of the...
متن کاملEnhanced Active Shape Models with Global Texture Constraints for Image Analysis
Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reconstruction residual in the texture subspace. In the proposed method, each landmark is firstly matched by its local profile in its current neighborhood, and the overall configure of all the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002