Fabio de Miranda's Library tagged imageProcessing →  View Popular

We present a system that composes a realistic picture from a simple freehand sketch annotated with text labels. The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet. Although online image search generates many inappropriate results, our system is able to automatically select suitable photographs to generate a high quality composition, using a filtering scheme to exclude undesirable images. We also provide a novel image blending algorithm to allow seamless image composition. Each blending result is given a numeric score, allowing us to find an optimal combination of discovered images. Experimental results show the method is very successful; we also evaluate our system using the results from two user studies.

cg.cs.tsinghua.edu.cn/...main.htm - Preview

imageProcessing

Supreme is a free software library that performs automated super-resolution imaging.

mentat.za.net/supreme - Preview

via:csantos python imaging imageprocessing superresolution vision computerVision

Antialiasing for images and 3D, super-fast. Also: other people outside the ISMM circuit seem to have heard of morphology
http://visual-computing.intel-research.net/publications/mlaa.pdf

visual-computing.intel-research.net/...mlaa.pdf - Preview

mlaa morphology vision computerVision imageProcessing

This project is an implementation of a novel algorithm [1] for the problem of structural image segmentation through an interactive model-based approach. Interaction is expressed in the model creation, which is done according to user traces drawn over a given input image. Both model and input are then represented by means of attributed relational graphs derived on the fly. Appearance features are taken into account as object attributes and structural properties are expressed as relational attributes. To cope with possible topological differences between both graphs, a new structure called deformation graph is introduced. The segmentation process corresponds to finding a labelling of the input graph that minimizes the deformations introduced in the model when it is updated with input information. This approach has shown to be faster than other segmentation methods, with competitive output quality. Therefore, the method solves the problem of multiple label segmentation in an efficient way. Encouraging results on textured color images, as well as examples showing the reusability of the model, are presented.

structuralsegm.sourceforge.net - Preview

labvision ime usp computerVision imageProcessing

The entire camera (hardware as well as software) is open source. It features a 752×480 pixel CMOS sensor, 64MB of SDRAM and 4MB of flash, Ethernet and div. IOs.
The camera runs a uClinux and comes with an image processing framework

mirror2image.wordpress.com/...le-camera-for-image-processing - Preview

hardware vision computervision camera dsp imageProcessing

CVPR 2009 papers on the web

gmazars.info/cvpr2009.html - Preview

computerVision research papers imageProcessing

Wikitude is a mobile travel guide for the Android platform based on location-based Wikipedia and Qype content. It is a handy application for planning a trip or to find out about landmarks in your surroundings; 350,000 world-wide points of interest may be searched by GPS or by address and displayed in a list view, map view or cam view.

www.mobilizy.com/wikitude.php - Preview

imageProcessing computerVision geolocation geocoding augmentedReality

GpuCV is an open-source GPU-accelerated image processing and Computer Vision library. It offers an Intel's OpenCV-like programming interface for easily porting existing OpenCV applications, while taking advantage of the high level of parallelism and computing power available from recent graphics processing units (GPUs). GpuCV supplies a set of GPU-accelerated OpenCV-like operators that are ready to be used in OpenCV applications as well as a framework for creating custom GPU-accelerated operators based on OpenGL+GLSL or NVIDIA CUDA APIs.

directory.oscos.org/gpucv - Preview

gpu computerVision imageProcessing programming gpgpu

Adobe’s Advanced Technology Labs create innovative technologies that can be incorporated into Adobe’s software products for consumers, creative professionals, developers, and enterprises.

www.adobe.com/technology - Preview

research 2d imageProcessing papers citings bibliography

Genetic algorithms and genetic programming applied to computer vision and image processing.

www.visionbib.com/...pattern653.html - Preview

bibliography papers citings research computerVision imageProcessing geneticAlgorithms geneticProgramming evolutionaryComputing

Vision, perception and cognition papers by Shimon Edelman

kybele.psych.cornell.edu/...archive.html - Preview

cognitiveScience vision imageProcessing

Two opposite orientations in image analysis are given on the one hand by linear filtering, spectrometry, and Fourier analysis, and on the other hand by mathematical morphology, which emphasizes order relations and set-theoretical properties. The former derives its appeal from its wide application in the processing of sound signals, while the latter has been sucessfully used in the analysis of materials or in cytology. We make a fundamental study of issues at hand in the choice of such methodologies in image analysis and vision. We start by outlining the difference in purpose of vision and audition and its physical basis, the scattering of waves. We criticize Serra's arguments on this matter.

citeseerx.ist.psu.edu/...summary - Preview

morphology imageProcessing computervision

The Adobe® Pixel Bender™ technology delivers a common image and video processing infrastructure which provides automatic runtime optimization on heterogeneous hardware. You can use the Pixel Bender kernel language to implement image processing algorithms (filters or effects) in a hardware-independent manner. The Pixel Bender graph language is an XML-based language for combining individual pixel-processing operations (kernels) into more complex Pixel Bender filters.

labs.adobe.com/...pixelbender - Preview

programming imageProcessing utilities

This is an Adobe Pixel Bender filter to create Escher’s Droste Effect in After Effects and Photoshop CS4.

www.subblue.com/droste - Preview

procedural imageProcessing 2d art dtp

Context Free is a program that generates images from written instructions called a grammar. The program follows the instructions in a few seconds to create images that can contain millions of shapes.

www.contextfreeart.org/index.html - Preview

art performance 2d imageProcessing illustration procedural algorithm

PerceptualDiff is an image comparison utility that makes use of a computational model of the human visual system to compare two images.

pdiff.sourceforge.net/ - Preview

perception imageProcessing computerGraphics cgi rendering

This is a Matlab-based software package for resolution
enhancement from video, developed at the Multi-Dimensional Signal
Processing (MDSP) research lab at the University of California at Santa
Cruz, led by Peyman Milanfar. The main objective of this softw

www.ee.ucsc.edu/...superresolution.html - Preview

computerVision imageProcessing vision superresolution enhancing aliasing

Most of them are unavailable

www.inperc.com/...index.php - Preview

computerVision imageProcessing search

Documentation of ancient (but still good) graphic programming environment which was later bought by Accusoft and discontinued.

www.cs.ioc.ee/k2tools - Preview

imageProcessing khoros programming

VIPS is a free image processing system. It is good with large
images (images larger than the amount of RAM you have available), with
many CPUs (see Benchmarks, VIPS is also part of the PARSEC suite), for
working with colour and for general research & deve

www.vips.ecs.soton.ac.uk/index.php - Preview

imageProcessing python programming