CGDIP

It is an important part of extracting the border in volume visualization for computing gradient feature of spatial data accurately and rapidly. The traditional method of volume visualization is to resample the data of model or observation distributing ...

The scene rendering is a demanding procedure which is used to create images and movies from scenes modelled in proper software environments such as open source 3D creation suite Blender. Generally the rendering can be used in two basic modes. Off-line, ...

In order to solve the problem of the load unbalance in sort-first parallel rendering system, this paper proposes a multi-frame prediction algorithm derived from CSLB algorithm to improve performence in parallel rendering, which introduces multi-frame ...

In our research, a 3D terrain model is automatically generated from key contour polygons by straight skeleton computation. Based on key contours given elevation, the faces connecting key contours are automatically formed, and thus 3D terrain models are ...

In the digital age, the production of a short film features in low cost, convenient equipment and simple process, which brings the self-directed and acted dream of people come true. During the creation of a short film, the use of CG technology for image ...

In order to solve the problem of error rate caused by pose and illumination variation, the sparse statistical deformable model is used to reconstruct the 3D face shape. By using the method of spherical harmonic quotient image, estimation of the original ...

Over the last few years, mobile devices have become part of our lives. More and more new applications are being developed due to the portability of mobile devices equipped with multiple sensors. In this paper, we proposed a simple and efficient system ...

This paper proposed a novel partially occluded multi-object detection algorithm based on parameter-constrained generalized Hough transform (PCGHT). First, it matches SIFT local feature points between the input image and the object template image. Second,...

Low-resolution thermal infrared array sensors can be used to detect human bodies and motion. Segmentation and deriving features from the segmented shape using such devices remains challenging. For improving and testing segmentation results, a sensor ...

This paper use SURF key point information as feature point in the front image of vehicle to recognize the type which the vehicle belongs to. We improved the SURF feature extracting method and search orient of the key point by max gradient sum of eight ...

Byproduct gas is an important secondary energy, which is the crux in the reduction of emission and energy consumption in the iron and steel industries. Due to the high emission rate of blast furnace gas, effective prediction of gas productions ...

In this paper, we investigate the estimation of partially linear varying-coefficient EV models under restricted condition. The estimators of parametric and nonparametric components are established based on adjust weighted least-squares method, and their ...

This paper presents privacy and security tools, for realizing secure High Dynamic Range (HDR) image information sharing. Our contribution is twofold. First, we developed an integrity verification scheme, based on secret key image watermarking, to detect ...

The objective of Super-Resolution is to obtain an image with higher resolution by using the information coming from one or more low resolution images. There are many different applications where super resolution is employed. Medical and forensic are ...

In this paper, the concept of using salient regions (MSER and SIMSER features) for image segmentation is revised and evaluated. Although we focus on the foreground-background segmentation (which plays an important role of many machine vision problems) ...

The Spectral Imaging Laboratory (SPILAB) has developed a new type of multiple aperture, super resolution artificial compound eye (ACE) camera that captures an array of interrelated sub-images using a single sensor. The optics, which were inspired by the ...

In order to realize high efficient compressive sensing(CS) three-dimensional(3D) multi-spectral imaging, a 3D multi-spectral imaging system based on CS theory as well as the corresponding CS algorithm to reconstruct the 2D images based on joint ...

Shutterless operation of cameras with framestore Charge-Coupled-Devices (CCDs) produces readout smear as characteristic image degradation. Post-facto image corrections for readout smear are known for the standard case, the case of charge flush and ...

It is an important part of extracting the border in volume visualization for computing gradient feature of spatial data accurately and rapidly. The traditional method of volume visualization is to resample the data of model or observation distributing ...

This article is devoted to a simple approach to overcoming dimensionality problem in the case of multichannel image histogram computation. It is an extremely important issue for big multispectral and hyperspectral images having dozens and hundreds of ...

The traditional block-based compressive sensing (BCS) approach considers the image to be segmented. However, there is not much literature available on how many numbers of blocks or segments per image would be the best choice for the compression and ...

The scientific principle of color perception phenomenon has been the concern of all walks of life. This paper compared the thresholds of lightness in different hues by subjective contrast experiment, and conduct subjective clarity evaluation experiment ...