arXiv:2006.16094
공식 코드 · Papers with Code
Level Set Stereo for Cooperative Grouping with Occlusion
원문 초록
Localizing stereo boundaries is difficult because matching cues are absent in the occluded regions that are adjacent to them. We introduce an energy and level-set optimizer that improves boundaries by encoding the essential geometry of occlusions: The spatial extent of an occlusion must equal the amplitude of the disparity jump that causes it. In a collection of figure-ground scenes from Middlebury and Falling Things stereo datasets, the model provides more accurate boundaries than previous occlusion-handling techniques.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
MASSeg : 2nd Technical Report for 4th PVUW MOSE Track
8-Calves Image dataset
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf Region
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions
토론
이 논문과 연결된 포럼 글이 아직 없습니다.