View-based 3-D model retrieval: A benchmark
View-based 3-D model retrieval is one of the most important techniques in numerous
applications of computer vision. While many methods have been proposed in recent years …
applications of computer vision. While many methods have been proposed in recent years …
Cognitive-inspired class-statistic matching with triple-constrain for camera free 3D object retrieval
Abstract 3D object retrieval has attracted much research attention in recent years, while most
of the state-of-the-art approaches highly depend on the camera array settings for capturing …
of the state-of-the-art approaches highly depend on the camera array settings for capturing …
Correspondence-free region localization for partial shape similarity via hamiltonian spectrum alignment
We consider the problem of localizing relevant subsets of non-rigid geometric shapes given
only a partial 3D query as the input. Such problems arise in several challenging tasks in 3D …
only a partial 3D query as the input. Such problems arise in several challenging tasks in 3D …
TextANIMAR: text-based 3D animal fine-grained retrieval
Abstract 3D object retrieval is an important yet challenging task that has drawn more and
more attention in recent years. While existing approaches have made strides in addressing …
more attention in recent years. While existing approaches have made strides in addressing …
[HTML][HTML] Cross-time registration of 3D point clouds
Registration is a ubiquitous operation in visual computing and constitutes an important pre-
processing step for operations such as 3D object reconstruction, retrieval and recognition …
processing step for operations such as 3D object reconstruction, retrieval and recognition …
SHREC'17: Deformable shape retrieval with missing parts
Partial similarity problems arise in numerous applications that involve real data acquisition
by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this …
by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this …
[PDF][PDF] SHREC'18: Rgb-d object-to-cad retrieval
Recent advances in consumer-grade depth sensors have enable the collection of massive
real-world 3D objects. Together with the rise of deep learning, it brings great potential for …
real-world 3D objects. Together with the rise of deep learning, it brings great potential for …
[PDF][PDF] SHREC'17: RGB-D to CAD retrieval with ObjectNN dataset
The goal of this track is to study and evaluate the performance of 3D object retrieval
algorithms using RGB-D data. This is inspired from the practical need to pair an object …
algorithms using RGB-D data. This is inspired from the practical need to pair an object …
Joint deep feature learning and unsupervised visual domain adaptation for cross-domain 3D object retrieval
With the widespread application of 3D capture devices, diverse 3D object datasets from
different domains have emerged recently. Consequently, how to obtain the 3D objects from …
different domains have emerged recently. Consequently, how to obtain the 3D objects from …
Learning part-in-whole relation of 3D shapes for part-based 3D model retrieval
Given a query that specifies partial 3D shape, a Part-based 3D Model Retrieval (P3DMR)
system finds 3D shapes whose part or parts matches the query. An approach to P3DMR is to …
system finds 3D shapes whose part or parts matches the query. An approach to P3DMR is to …