Point cloud registration is a popular topic that has been widely used in 3D model reconstruction, location, and retrieval. In this paper, we propose a new registration method, KSS-ICP, to address the rigid registration task in Kendall shape space (KSS) with Iterative Closest Point (ICP). The KSS is a quotient space that removes influences of translations, scales, and rotations for shape feature-based analysis. Such influences can be concluded as the similarity transformations that do not change the shape feature. The point cloud representation in KSS is invariant to similarity transformations. We utilize such property to design the KSS-ICP for point cloud registration. To tackle the difficulty to achieve the KSS representation in general, the proposed KSS-ICP formulates a practical solution that does not require complex feature analysis, data training, and optimization. With a simple implementation, KSS-ICP achieves more accurate registration from point clouds. It is robust to similarity transformation, non-uniform density, noise, and defective parts. Experiments show that KSS-ICP has better performance than the state-of-the-art. Code1 and executable files2 are made public. 

KSS-ICP: Point Cloud Registration Based on Kendall Shape Space

Point cloud registration is a popular topic that has been widely used in 3D model reconstruction, location, and retrieval. In this paper, we propose a new registration method, KSS-ICP, to address the rigid registration task in Kendall shape space (KSS) with Iterative Closest Point (ICP). The KSS is a quotient space that removes influences of translations, scales, and rotations for shape feature-based analysis. Such influences can be concluded as the similarity transformations that do not change the shape feature. The point cloud representation in KSS is invariant to similarity transformations. We utilize such property to design the KSS-ICP for point cloud registration. To tackle the difficulty to achieve the KSS representation in general, the proposed KSS-ICP formulates a practical solution that does not require complex feature analysis, data training, and optimization. With a simple implementation, KSS-ICP achieves more accurate registration from point clouds. It is robust to similarity transformation, non-uniform density, noise, and defective parts. Experiments show that KSS-ICP has better performance than the state-of-the-art. Code (vvvwo/KSS-ICP) and executable files (vvvwo/KSS-ICP/tree/master/EXE) are made public.

pdf/kss-icp-point-cloud-registration-based-on-kendall-shape-2iexi5u3.pdf

https://hal.inria.fr/hal-02137325/document

Anisotropic convolution surfaces

An interactive editor for curve-skeletons: SkeletonLab

Vascular network reconstruction is an essential aspect of the daily practice of medical doctors working with vascular systems. Accurately representing vascular networks, not only graphically but also in a way that encompasses their structure, can be used to run simulations, plan medical procedures or identify real-life diseases, for example. A vascular network is thus reconstructed from a 3D medical image sequence via segmentation and skeletonization. Many automatic algorithms exist to do so but tend to fail for specific corner cases. On the other hand, manual methods exist as well but are tedious to use and require a lot of time. In this paper, we introduce an interactive vascular network reconstruction system called INVANER that relies on a graph-like representation of the network's structure. A general skeleton is obtained with an automatic method and medical practitioners are allowed to manually repair the local defects where this method fails. Our system uses graph-related tools with local effects and introduces two novel tools, dedicated to solving two common problems arising when automatically extracting the centerlines of vascular structures: so-called "Kissing Vessels" and a type of phenomenon we call "Dotted Vessels."

INVANER: INteractive VAscular Network Editing and Repair

Curve-skeletons are well known shape descriptors, able to encode topological and structural information of a shape. The range of applications in which they are used comprises, to name a few, computer animation, shape matching, modelling and remeshing. Different tools for automatically extracting the curve-skeleton for a given input mesh are currently available, as well as inverse skeletonization tools, where a user-deﬁned skeleton is taken as input in order to build a mesh that reﬂects the encoded structure. Although their use is broad, an automatically extracted curve-skeleton is usually not well-suited for the next pipeline step in which they will be used. We present a tool for creating, editing and repairing curve-skeletons whose aim is to allow users to obtain, within minutes, curve-skeletons that are tailored for their speciﬁc task.

Skeleton Lab: an Interactive Tool to Create, Edit, and Repair Curve-Skeletons

Sketch as the most intuitive and powerful 2D design method has been used by artists for decades. However it is not fully integrated into current 3D animation pipeline as the difficulties of interpreting 2D line drawing into 3D. Several successful research for character posing from sketch has been presented in the past few years, such as the Line of Action [Guay et al. 2013] and Sketch Abstractions [Hahn et al. 2015]. However both of the methods require animators to manually give some initial setup to solve the corresponding problems. In this paper, we propose a new sketch based character posing system which is more flexible and efficient. It requires less input from the user than the system from [Hahn et al. 2015]. The character can be easily posed no matter the sketch represents a skeleton structure or shape contours.

/pdf/enhancing-character-posing-by-a-sketch-based-interaction-ywfdbpih99.pdf

Enhancing character posing by a sketch-based interaction

While 3D animation is constantly increasing its popularity, 2D is still largely in use in animation production. In fact, 2D has two main advantages. The first one is economic, as it is more rapid to produce, having a dimension less to consider. The second one is important for the artists, as 2D characters usually have highly distinctive traits, which are lost in a 3D transposition. An iconic example is Mickey Mouse, whom ears appear circular no matter which way he is facing.

/pdf/3d-content-creation-exploiting-2d-character-animation-2anhty8c3z.pdf

3D content creation exploiting 2D character animation

Virtual Reality technology has spread rapidly in recent years. However, its growth risks ending soon due to the absence of quality content, except for few exceptions. We present an original framework that allows artists to use 2D characters and animations in a 3D Virtual Reality environment, in order to give an easier access to the production of content for the platform. In traditional platforms, 2D animation represents a more economic and immediate alternative to 3D. The challenge in adapting 2D characters to a 3D environment is to interpret the missing depth information. A 2D character is actually flat, so there is not any depth information, and every body part is at the same level of the others. We exploit mesh interpolation, billboarding and parallax scrolling to simulate the depth between each body segment of the character. We have developed a prototype of the system, and extensive tests with a 2D animation production show the effectiveness of our framework.

/pdf/repurpose-2d-character-animations-for-a-vr-environment-using-3ibsx6u1m1.pdf

Repurpose 2D Character Animations for a VR Environment Using BDH Shape Interpolation.

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