"GrabCut" Tập 23 Số 3 - Trang 309-314 - 2004
Carsten Rother, Vladimir Kolmogorov, Andrew Blake
The problem of efficient, interactive foreground/background segmentation in
still images is of great practical importance in image editing. Classical image
segmentation tools use either texture (colour) information, e.g. Magic Wand, or
edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach
based on optimization by graph-cut has been developed which successfully
combines both... hiện toàn bộ
Photo tourism Tập 25 Số 3 - Trang 835-846 - 2006
Noah Snavely, Steven M. Seitz, Richard Szeliski
We present a system for interactively browsing and exploring large unstructured
collections of photographs of a scene using a novel 3D interface. Our system
consists of an image-based modeling front end that automatically computes the
viewpoint of each photograph as well as a sparse 3D model of the scene and image
to model correspondences. Our photo explorer uses image-based rendering
techniques t... hiện toàn bộ
Screened poisson surface reconstruction Tập 32 Số 3 - Trang 1-13 - 2013
Michael Kazhdan, Hugues Hoppe
Poisson surface reconstruction creates watertight surfaces from oriented point
sets. In this work we extend the technique to explicitly incorporate the points
as interpolation constraints. The extension can be interpreted as a
generalization of the underlying mathematical framework to a screened Poisson
equation. In contrast to other image and geometry processing techniques, the
screening term is ... hiện toàn bộ
Edge-preserving decompositions for multi-scale tone and detail manipulation Tập 27 Số 3 - Trang 1-10 - 2008
Zeev Farbman, Raanan Fattal, Dani Lischinski, Richard Szeliski
Many recent computational photography techniques decompose an image into a
piecewise smooth base layer, containing large scale variations in intensity, and
a residual detail layer capturing the smaller scale details in the image. In
many of these applications, it is important to control the spatial scale of the
extracted details, and it is often desirable to manipulate details at multiple
scales, ... hiện toàn bộ
Seam carving for content-aware image resizing Tập 26 Số 3 - Trang 10 - 2007
Shai Avidan, Ariel Shamir
Effective resizing of images should not only use geometric constraints, but
consider the image content as well. We present a simple image operator called
seam carving that supports content-aware image resizing for both reduction and
expansion. A seam is an optimal 8-connected path of pixels on a single image
from top to bottom, or left to right, where optimality is defined by an image
energy funct... hiện toàn bộ
Fast bilateral filtering for the display of high-dynamic-range images Tập 21 Số 3 - Trang 257-266 - 2002
Frédo Durand, Julie Dorsey
We present a new technique for the display of high-dynamic-range images, which
reduces the contrast while preserving detail. It is based on a two-scale
decomposition of the image into a base layer, encoding large-scale variations,
and a detail layer. Only the base layer has its contrast reduced, thereby
preserving detail. The base layer is obtained using an edge-preserving filter
called the bilate... hiện toàn bộ
Dehazing Using Color-Lines Tập 34 Số 1 - Trang 1-14 - 2014
Raanan Fattal
Photographs of hazy scenes typically suffer having low contrast and offer a
limited visibility of the scene. This article describes a new method for
single-image dehazing that relies on a generic regularity in natural images
where pixels of small image patches typically exhibit a 1D distribution in RGB
color space, known as color-lines. We derive a local formation model that
explains the color-lin... hiện toàn bộ
Shape google Tập 30 Số 1 - Trang 1-20 - 2011
Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas, Maks Ovsjanikov
The computer vision and pattern recognition communities have recently witnessed
a surge of feature-based methods in object recognition and image retrieval
applications. These methods allow representing images as collections of “visual
words” and treat them using text search approaches following the “bag of
features” paradigm. In this article, we explore analogous approaches in the 3D
world applied... hiện toàn bộ
O-CNN Tập 36 Số 4 - Trang 1-11 - 2017
Peng‐Shuai Wang, Yang Liu, Yuxiao Guo, Chunyu Sun, Xin Tong
We present O-CNN , an Octree-based Convolutional Neural Network (CNN) for 3D
shape analysis. Built upon the octree representation of 3D shapes, our method
takes the average normal vectors of a 3D model sampled in the finest leaf
octants as input and performs 3D CNN operations on the octants occupied by the
3D shape surface. We design a novel octree data structure to efficiently store
the octant in... hiện toàn bộ
Image smoothing via L 0 gradient minimization Tập 30 Số 6 - Trang 1-12 - 2011
Xu Li, Cewu Lu, Yi Xu, Jiaya Jia
We present a new image editing method, particularly effective for sharpening
major edges by increasing the steepness of transition while eliminating a
manageable degree of low-amplitude structures. The seemingly contradictive
effect is achieved in an optimization framework making use of L 0 gradient
minimization, which can globally control how many non-zero gradients are
resulted in to approximate... hiện toàn bộ