TOF (time-of-flight) depth camera is a 3D imaging device that can obtain high-precision distance information. It is used to estimate 3D structure directly without the help of traditional computer-vision algorithms. However, it has some disadvantages such as generated a depth map with low resolution and it has large random noise. In order to overcome this limitation, we proposed a new method with combines the confidence map and use the interpolation operation to improve the resolution of the image. In the up-sampling process, we consider the relationship between distance information generated by TOF camera and the confidence map, through a novel method that based on the confidence value to weighted for the traditional nearest neighbor interpolation, bilinear interpolation and the bi-cubic interpolation algorithm, increase the weight of the depth information with high confidence value in every way. Then through the multi-directional changes of edge gradient, the pixel points of edge region to be optimize with the interpolation. Experimental results show that ours method can improve the resolution of the depth image and optimize the edge effect.
We propose a method to extract thin occlusions from multi-focus images. The occluders are various shapes of arbitrarily thin noise (e.g., fences, window shutters, tree branches and football nets). The proposed method can recognize and extract the thin occlusions in a variety of complex scenes by using color similarity and image registration. Experimental results on real images show the validity of the proposed method.
To quickly obtain a 3D model of real world objects, multi-point ranging is very important. However, the traditional measuring method usually adopts the principle of point by point or line by line measurement, which is too slow and of poor efficiency. In the paper, a no scanning depth imaging system based on TOF (time of flight) was proposed. The system is composed of light source circuit, special infrared image sensor module, processor and controller of image data, data cache circuit, communication circuit, and so on. According to the working principle of the TOF measurement, image sequence was collected by the high-speed CMOS sensor, and the distance information was obtained by identifying phase difference, and the amplitude image was also calculated. Experiments were conducted and the experimental results show that the depth imaging system can achieve no scanning depth imaging function with good performance.
The amount of image data from the captured three-dimensional integral image is large and the resolution of reconstructed images by conventional computational reconstruction methods is low in Integral Imaging (II) system. To overcome these problems, a computational reconstruction method by sampling elemental images array is proposed. This method makes full use of the matching pixels in adjacent elemental images of integral imaging, thus high resolution reconstruction is realized by only using sampled elemental images. Experimental results show that the proposed method improves the resolution of reconstructed images and reduces data amount used in reconstruction. This provides certain convenience for the storage and transmission of integral images.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.