Automatic 3D modeling of archaeological objects

A wide-spread use of 3D models in archeology application requires low cost equipment and technically simple modeling procedures. In this context methods for automatic 3D modeling based on fully automatic techniques for 3D views registration will play a central role. This paper proposes a very robust procedure which does not require special equipment or skill in order to make 3D models. The results of this paper, originally conceived to address the costs issues of heritage’s modeling, can be profitably exploited also in other modeling applications. 1

A NEW SUPER RESOLUTION TECHNIQUE FOR RANGE DATA

Current Time-of-Flight matrix sensors allow for the acquisition of range maps, i.e. surface data, at video rate. This possibility is rather intriguing in light of its applications to 3D video and general motion capture. Unfortunately the resolution of the range maps acquired by such devices is quite limited specially if compared with standard color cameras. This makes highly desirable methods for improving the resolution of range maps. The characteristics of range data are completely different from those of images since geometry and light intensity are physically different quantities, therefore methods suited to image interpolation do not perform well with range data. This work presents an original interpolation technique that exploits side information from a standard color camera to increase the resolution of range maps and demonstrates its performance. Index Terms — Depth map super resolution, range images enhancement 1

A RATE DISTORTION FRAMEWORK FOR 3D BROWSING

This paper contains an overview of a novel remote 3D visualization scheme. The scene is represented by a set of scalably compressed views and depth maps stored at server side. The JPIP transmission protocol is exploited to transmit the data in a progressive way while the interactive browsing goes on. The received images are then warped onto the required view and combined together. We develop a model to estimate the distortion in the rendered views and use it both to combine information from multiple views at client side and to select the data that need to be transmitted from the server

Content-Based Retrieval of 3D Models Based on Multiple Aspects

Abstract — This paper presents an approach for aspect-based retrieval of 3D models or circular views of real objects. The objects in our database are described by a set of images, which are taken varying the pose of a constant angle along a given plane. A set of parameters is computed for each image, taking into account general features like bounding boxes, contours, and mass distribution. The number of parameters of each image is then reduced using Principal Component Analysis, obtaining a low dimensional feature space. We assume that the query is in the same form of objects in our database, and thus it can undergo the same feature extraction process. The system then retrieves the most similar objects computing the ¢ £ distance in the features space. Preliminary results are presented with a database of ¥ ¦ ¦ different objects, consisting of © ¦ ¦ ¦ different views. I

3D online multimedia dan game procesing, transmission and visualization

xii, 357 hlm.; ilus.; 24 cm

Edge-preserving interpolation of depth data exploiting color information

The extraction of depth information associated to dynamic scenes is an intriguing topic, because of its perspective role in many applications, including free viewpoint and 3D video systems. Time-of-flight (ToF) range cameras allow for the acquisition of depth maps at video rate, but they are characterized by a limited resolution, specially if compared with standard color cameras. This paper presents a super-resolution method for depth maps that exploits the side information from a standard color camera: the proposed method uses a segmented version of the high-resolution color image acquired by the color camera in order to identify the main objects in the scene and a novel surface prediction scheme in order to interpolate the depth samples provided by the ToF camera. Effective solutions are provided for critical issues such as the joint calibration between the two devices and the unreliability of the acquired data. Experimental results on both synthetic and real-world scenes have shown how the proposed method allows to obtain a more accurate interpolation with respect to standard interpolation approaches and state-of-the-art joint depth and color interpolation schemes