Deep Photometric Stereo for Non-Lambertian Surfaces
نویسندگان
چکیده
منابع مشابه
Photometric Stereo for Non-Lambertian Surfaces Using Color Information
One robust method to reconstruct shape is photometric stereo (PMS), which reconstructs surface orientation using the Lambertian reflection properties of the surface material. To increase the applicability to non-Lambertian surfaces, we extend this method using a twostage process without introducing additional light sources or assuming a known micro facet distribution. In the first step, the glo...
متن کاملTowards Uncalibrated Photometric Stereo for Non-Lambertian Surfaces
Photometric stereo is a method that captures local shape and reflectance of a 3D object from several intensity images of this object taken under different illuminations and a fixed viewpoint. The ability to estimate the surface reflectance parameters and local shape makes photometric stereo an invaluable tool for capturing intrinsic properties of real surfaces. The greatest benefit from this ab...
متن کاملA Theory of Photometric Stereo for a Class of Diffuse Non-Lambertian Surfaces
Photometric stereo is a method of reconstructing a surface from the amount of light reflected by it. This is done by using prior knowledge of the surface reflectance to estimate the surface normal at all visible points. The theory of photometric stereo has been extensively developed for surfaces and illumination geometries that give rise to a Lambertian reflectance map. For non-Lambertian refle...
متن کاملColor Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces
This paper presents a novel approach for recovering the shape of non-Lambertian, multicolored objects using two input images. We show that a ring light source with complementary colored lights has the potential to be effectively utilized for this purpose. Under this lighting, the brightness of an object surface varies with respect to different reflections. Therefore, analyzing how brightness is...
متن کاملPhotometric Stereo from Maximum Feasible Lambertian Reflections
We present a Lambertian photometric stereo algorithm robust to specularities and shadows and it is based on a maximum feasible subsystem (Max FS) framework. A Big-M method is developed to obtain the maximum subset of images that satisfy the Lambertian constraint among the whole set of captured photometric stereo images which include non-Lambertian reflections such as specularities and shadows. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2020
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2020.3005397