33 citations · 36 across the 8 of their papers we have counts for
8 papers
EASE: Parametric garment design with explicit and local ease control
Kristijan Bartol, Frieda Hentschel, Nataliya Sadretdinova +4
Garment fit and comfort depend critically on ease, the local allowance of excess material relative to the body. In existing design pipelines, ease is typically a byproduct of geome…
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration
David Bojanić, Kristijan Bartol, Josep Forest +3
Learning universal representations across different applications domain is an open research problem. In fact, finding universal architecture within the same application but across…
Generalizable Human Pose Triangulation
Kristijan Bartol, David Bojanić, Tomislav Petković +1
We address the problem of generalizability for multi-view 3D human pose estimation. The standard approach is to first detect 2D keypoints in images and then apply triangulation fro…
Catadioptric Stereo on a Smartphone
Kristijan Bartol, David Bojanić, Tomislav Petković +1
We present a 3D printed adapter with planar mirrors for stereo reconstruction using front and back smartphone camera. The adapter presents a practical and low-cost solution for ena…
Smart Time-Multiplexing of Quads Solves the Multicamera Interference Problem
Tomislav Pribanic, Tomislav Petkovic, David Bojanic +1
Time-of-flight (ToF) cameras are becoming increasingly popular for 3D imaging. Their optimal usage has been studied from the several aspects. One of the open research problems is t…
Towards Keypoint Guided Self-Supervised Depth Estimation
Kristijan Bartol, David Bojanic, Tomislav Petkovic +2
This paper proposes to use keypoints as a self-supervision clue for learning depth map estimation from a collection of input images. As ground truth depth from real images is diffi…
Can Human Sex Be Learned Using Only 2D Body Keypoint Estimations?
Kristijan Bartol, Tomislav Pribanic, David Bojanic +1
In this paper, we analyze human male and female sex recognition problem and present a fully automated classification system using only 2D keypoints. The keypoints represent human j…
On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods
Kristijan Bartol, David Bojanić, Tomislav Pribanić +3
The purpose of this study is to give a performance comparison between several classic hand-crafted and deep key-point detector and descriptor methods. In particular, we consider th…