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The work presented in this paper deals with the poor performance of depth image generation given by Tyzx stereo vision system under different lighting conditions in both indoor and outdoor environments. For that aim, we introduce a fitting plane algorithm to correct distance information as well as fulfill the missing points in the original depth. First, the color image is over-segmented into many...
In this paper we propose a novel Conditional Random Field (CRF) formulation for the semantic scene labeling problem which is able to enforce temporal consistency between consecutive video frames and take advantage of the 3D scene geometry to improve segmentation quality. The main contribution of this work lies in the novel use of a 3D scene reconstruction as a means to temporally couple the individual...
Breast density is an important indicator for a woman's lifetime risk of breast cancer. A 3D model of breast density can be obtained by taking 3D tomographic ultrasound and then identifying tissue distribution in the breast with 3D medical image segmentation. In this paper, we compare two segmentation algorithms, EM-MPM (Expectation Maximization with Maximization of Posterior Marginals) and K-means...
The conversion of existing 2D videos to 3D videos is an important process for 3D video production. Generating an accurate depth map is the key starting pointfor this 2D to 3D conversion. This paper presents a novel method for generating the depth map of 2D image sequences from motion information. Different from the typical multi-view stereo method, this approach calculates the motion information directly...
The modern trend in medical diagnosis is to create 3D medical model of human organ based on 2D image such as CT and MRI, has been familiar and used in clinical diagnosis by surgeon recent years, because 3D model includes and reflects more information in detail than 2D image. 3D medical model has many utilities, including surgery plan design and simulation, defect area inspection, personalized implant...
Reliable object recognition is a mandatory prerequisite for service robots that operate in everyday environments. Typical approaches run a single classifier for the purpose of object recognition. However, no single algorithm proved to classify across all types of objects. We propose an approach that combines the recognition result of several methods working on different features. This reduces the...
High-level vision applications often incorporate image segmentation techniques into their preprocessing stages to reduce image data and to improve overall execution efficiency. Traditional segmentation approaches often focus on creating homogenous, connected regions of pixels to roughly correspond with image object boundaries. These methods tend to blend or remove important image details and are often...
We present a room-sized telepresence system for informal gatherings rather than conventional meetings. Unlike conventional systems which constrain participants to sit in fixed positions, our system aims to facilitate casual conversations between people in two sites. The system consists of a wall of large flat displays at each of the two sites, showing a panorama of the remote scene, constructed from...
With the advent of glasses-free autostereoscopic handheld displays, a number of applications may be enhanced by 3D perception, particularly mobile video communications. On handheld devices, front-facing stereo cameras can capture the two views necessary for 3D display. However, the short distance between the user and cameras introduces large disparities and other stereoscopic challenges that have...
The recombinant tissue plasminogen activator (tPA) has shown effective in improving the outcome of early acute ischemic if less than one third of the territory of the middle cerebral artery (MCA) was involved. The Alberta Stroke Program Early CT Score (ASPECTS) method has been adopted to assess the MCA involvement by many institutions. However, ASPECTS scoring is still a challenge to clinicians in...
A hybrid method is used to evaluate atherosclerosis through a mathematical morphology approach and GVF-Snake method. Common carotid artery (CCA) segmentation requires outlining the intima and adventitia contours on the transverse view of B-mode ultrasound (US) images. The lumen and adventitia contours are segmented using a morphology and GVF-Snake methods, respectively. Upon analyzing ten separate...
Visual Sonification is the process of converting visual properties of objects into sound signals. This paper describes the Michigan Visual Sonification System (MVSS) that utilizes this process to assist the visually impaired in distinguishing different objects in their surroundings. MVSS uses depth information to first segment and localize salient objects and then represents an object's appearance...
In this paper we propose a novel segmentation method that integrates prior shape knowledge obtained from a 3D statistical model into the Markov Random Field (MRF) segmentation framework to deal with severe artifacts, noise and shape deformations. The statistical model is learned using a Probabilistic Principal Component Analysis (PPCA), which allows us to reconstruct the optimal shape and to compute...
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines of objects, in order to keep the interface as simple as possible and to respect browser constraints. However, as most browsers now contain functionality to quickly process images and render shapes to the browser through JavaScript,...
Image segmentation and non-rigid registration are two widely investigated tasks in medical image analysis. Concurrent segmentation and registration methods have received considerable attention in recent years. While some models have been shown to give interesting results, most of them are either able to improve segmentation results alone or able to correct rigid rotation and translation only. In addition,...
In this paper, we evaluate a proposed three dimensional ultrasound (3D US) guided navigation system for percutaneous renal puncture with an abdomen phantom. The system provides surgeons with intra-operative surgical navigation incorporating pre-operative needle trajectory planning. The intra-operative three dimensional ultrasound images are registered to the pre-operative magnetic resonance (MR) images,...
Ability to effectively and efficiently detect planes is very useful for mobile robot navigation. This is because plane structures are abundant in man-made environment. Existing methods for plane detection are derived for different kinds of input data. In this paper, we propose a plane detection method for image sequences from Kinect. The algorithm takes into account the limitation of the Kinect's...
Recently announced RGB-D cameras like Microsoft Kinect are attractive sensing systems providing RGB images along with registered depth information at a high frame rate. This advantage makes such cameras greatly useful in the context of robotics, especially for dense 3D mapping in home environment. However, depth information they provide is usually incomplete and imprecise. This paper presents a method...
A novel noninvasive approach for early diagnosis of prostate cancer from Dynamic Contrast enhanced Magnetic Resonance Imaging is proposed. The proposed approach consists of four main steps. The first step is to isolate the prostate from the surrounding anatomical structures based on a Maximum a Posteriori estimate of a new log-likelihood function that accounts for the shape priori, the spatial interaction,...
One of the main challenges in high-throughput plant data acquisition is the robust and automated analysis of the data. This includes a high-resolution 3D plant model reconstruction and an automated 3D segmentation. In this paper we present our top-down partitioning pipeline used to automatically segment high-resolution plant meshes. The proposed method produces a smart partition of the initial mesh...
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