State of the art on 3D reconstruction with RGB‐D cameras
The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …
advancement of visual scene reconstruction methods. Both computer graphics and …
Visible light communications: demand factors, benefits and opportunities [Guest Editorial]
Visible light communications (VLC) is an emerging field of optical communications that
focuses on the part of the electromagnetic spectrum that humans can see. Much existing …
focuses on the part of the electromagnetic spectrum that humans can see. Much existing …
Intrinsic scene properties from a single rgb-d image
In this paper we extend the" shape, illumination and reflectance from shading"(SIRFS)
model [3, 4], which recovers intrinsic scene properties from a single image. Though SIRFS …
model [3, 4], which recovers intrinsic scene properties from a single image. Though SIRFS …
Direct intrinsics: Learning albedo-shading decomposition by convolutional regression
We introduce a new approach to intrinsic image decomposition, the task of decomposing a
single image into albedo and shading components. Our strategy, which we term direct …
single image into albedo and shading components. Our strategy, which we term direct …
A simple model for intrinsic image decomposition with depth cues
We present a model for intrinsic decomposition of RGB-D images. Our approach analyzes a
single RGB-D image and estimates albedo and shading fields that explain the input. To …
single RGB-D image and estimates albedo and shading fields that explain the input. To …
Pie-net: Photometric invariant edge guided network for intrinsic image decomposition
Intrinsic image decomposition is the process of recovering the image formation components
(reflectance and shading) from an image. Previous methods employ either explicit priors to …
(reflectance and shading) from an image. Previous methods employ either explicit priors to …
Shading-based refinement on volumetric signed distance functions
We present a novel method to obtain fine-scale detail in 3D reconstructions generated with
low-budget RGB-D cameras or other commodity scanning devices. As the depth data of …
low-budget RGB-D cameras or other commodity scanning devices. As the depth data of …
A survey of photometric stereo techniques
Reconstructing the shape of an object from images is an important problem in computer
vision that has led to a variety of solution strategies. This survey covers photometric stereo …
vision that has led to a variety of solution strategies. This survey covers photometric stereo …
Unified depth prediction and intrinsic image decomposition from a single image via joint convolutional neural fields
We present a method for jointly predicting a depth map and intrinsic images from single-
image input. The two tasks are formulated in a synergistic manner through a joint conditional …
image input. The two tasks are formulated in a synergistic manner through a joint conditional …
Shading-based shape refinement of RGB-D images
We present a shading-based shape refinement algorithm which uses a noisy, incomplete
depth map from Kinect to help resolve ambiguities in shape-from-shading. In our framework …
depth map from Kinect to help resolve ambiguities in shape-from-shading. In our framework …