• Journal of Korea Multimedia Society
• /
• v.15 no.12
• /
• pp.1430-1441
• /
• 2012

In this paper, we present an algorithm that quickly and effectively estimates orthogonal vanishing points in equirectangular images of urban environment. Our algorithm is based on the RANSAC (RANdom SAmple Consensus) algorithm and on the characteristics of the line segment in the spherical panorama image of the $360^{\circ}$ longitude and $180^{\circ}$ latitude field of view. These characteristics can be used to reduce the geometric ambiguity in the line segment classification as well as to improve the robustness of vanishing point estimation. The proposed algorithm is validated experimentally on a wide set of images. The results show that our algorithm provides excellent levels of accuracy for the vanishing point estimation as well as line segment classification.

• Imaging Science in Dentistry
• /
• v.33 no.3
• /
• pp.131-135
• /
• 2003

Purpose: To determine whether the mandibular radiomorphometric indices in panoramic radiography are correlated with the bone mineral density of Cu-equivalent images in intraoral film. Materials and Methods: The bone mineral density (BMD) of the mandibular premolar area was measured in the Cu-equivalent image of intraoral film. The Panoramic Mandibular Index (PMI) and Mandibular Cortical Width (MCW) were measured in panoramic radiographs of six dry mandibles, and the Pearson correlation between PMI, MCW, and BMD were tested. Results: There were no significant correlations between PMI and BMD (r = 0.280), nor between MCW and BMD (r =0.237). Conclusion: The results show that PMI and MCW were poor diagnostic indicators of mandibular BMD in the six dry mandibles used in this study. The correlationship between the mandibular radiomorphometric indices (PMI and MCW) and mandibular BMD needs to be researched further using large in vivo patient samples.

• Journal of information and communication convergence engineering
• /
• v.11 no.4
• /
• pp.298-306
• /
• 2013

The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel approach for SIFT algorithm implementation using a block filtering technique in a Gaussian convolution process on the SIMD Pixel Processor. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and input/output capabilities of the processor, which results in a system that can perform real-time image and video compression. We apply this implementation to images and measure the effectiveness of such an approach. Experimental simulation results indicate that the proposed method is capable of real-time applications, and the result of our parallel approach is outstanding in terms of the processing performance.

• Maxillofacial Plastic and Reconstructive Surgery
• /
• v.18 no.2
• /
• pp.279-285
• /
• 1996

The odontogenic keratocyst(OKC) was used of term and described some of clinical, radiological and microscopic features by Philipsen 1956. The microscopic finding of OKC is characterized by the production of keratin, Which sometimes fills the lumen and thinning of epithelium of cyst. The most clinical importance of OKC is its extraordinary recurrence rate owing to the incomplete removal of the cyst wall. The final diagnosis of OKC should be evaluated by histologic findings and follow-up of any case of OKC with annual roentgenograms and clinical evaluations is essential for at least five years after surgery. This article is report of 2 cases of large OKC involved both molar portion and symphysis of mandible with facial asymmetry, severe bone destruction and paresthesia of lower lip on clinically, roentgenographically. By the postoperative findings the patients showed normal regeneration of bone defect area without recurrence signs by panorama films after surgery.

• Proceedings of the IEEK Conference
• /
• 2001.09a
• /
• pp.415-418
• /
• 2001

The automatic construction of large, high-resolution image mosaics is an active area of reasearch in the fields of photogrammetry, computer vision, image processing, and computer graphics. In this study, we describe a automatic mosaicing method that makes a panorama from images by placing camera in a emitted-grid. In the images captured by cameras, there must be a matched area and the area is in the particular area of the image. Initial transformation matrix, there(ore, is calculated from points searched in the partial area. It is possible to find best transformation matrix by Levenberg-Marquardt method. Finally, each images are multiplied by blending function and stitched by the transformation matrix to complete panoramic image.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.8
• /
• pp.767-772
• /
• 2016

The purpose of this paper is to develop a gimbal system installed in the UFV(unmanned flight vehicles) for 360 degree VR video. In particular, even if the UFV rotated any direction the camera position is fiexd to minimize the shaking using the gyro sensor and the camera system is stable for taking $360^{\circ}$ panorama VR images.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2017.11a
• /
• pp.218-220
• /
• 2017

Recently, stitching techniques are used for obtaining wide FOV, e.g., panorama contents, from normal cameras. Despite many proposed algorithms, the no objective quality evaluation method is developed, so the comparison of algorithms are performed only in subjective way. The paper proposes a 'Delaunay-triangulation based objective assessment method' for evaluating the geometric and photometric distortions of stitched or warped images. The reference and target images are segmented by Delaunay-triangulation based on matched points between two images, the average Euclidian distance is used for geometric distortion measure, and the average or histogram of PSNR for photometric measure. We shows preliminary results with several test images and stitching methods for demonstrate the benefits and application.

• Korean Institute of Interior Design Journal
• /
• no.29
• /
• pp.257-264
• /
• 2001

To propose the construction of architectural interior design and communication using graphic, web3D, it was studied the kind and character of various representation methods that can be embodied in an architectural interior design on the web, and looks into whether these ways can be adapted to an architectural interior design process. Especially, the use of the current techniques on graphic and CAD data give the most suitable effect by using the integrated data such as vector animation, an interaction of object VR(Virtual Reality), a high quality of panorama VR, and data treatment and its interaction of drawing of cad data. As a result, the single data format shows not only one image representation but also a stream of continuous operation through a change into another format. But this desired study expects that another next studies will go on interaction and integration of digital format with increase of transmission speed expected in the future, and a digital model and its practical methods.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.2 no.3
• /
• pp.39-52
• /
• 2009

Scale Invariant Feature Transform (SIFT) is an effective algorithm in object recognition, panorama stitching, and image matching, however, due to its complexity, real time processing is difficult to achieve with software approaches. This paper proposes using a reconfigurable hardware processor with integer half kernel. The integer half kernel Gaussian reduces the Gaussian pyramid complexity in about half [] and the reconfigurable processor carries out a parallel implementation of a full search Fast SIFT algorithm. We use a low memory, fine grain single instruction stream multiple data stream (SIMD) pixel processor that is currently being developed. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and I/O capabilities of the processor which results in a system that can perform real time image and video compression. We apply this novel implementation to images and measure the effectiveness. Experimental simulation results indicate that the proposed implementation is capable of real time applications.

• Journal of information and communication convergence engineering
• /
• v.2 no.1
• /
• pp.52-57
• /
• 2004

In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosaic of the background is progressively integrated in a single image using the camera motion information. For the camera motion estimation, we calculate affine motion parameters for each frame sequentially with respect to its previous frame. The camera motion is robustly estimated on the background by discriminating between background and foreground regions. The modified block-based motion estimation is used to separate the background region. Each moving object is segmented by image subtraction from the mosaic background. The proposed tracking system has demonstrated good performance for several test video sequences.