Object-based digital hologram segmentation and motion compensation
نویسندگان
چکیده
منابع مشابه
Motion-based Object Segmentation using Active Contours
The segmentation of an image sequence into meaningful regions is an important early step in computer vision. We describe a motion segmentation algorithm that tracks contours through an image sequence using active contours. This approach eliminates the problems of feature correspondence and feature drop-outs encountered with other feature-based tracking techniques. It also allows accurate recove...
متن کاملBio-inspired Motion-Based Object Segmentation
Although motion extraction requires high computational resources and normally produces very noisy patterns in real sequences, it provides useful cues to achieve an efficient segmentation of independent moving objects. Our goal is to employ basic knowledge about biological vision systems to address this problem. We use the Reichardt motion detectors as first extraction primitive to characterize ...
متن کاملWpm P4.08 Video Object Segmentation Based on Global Motion Estimation/compensation
This paper presents a video object segmentation scheme based on global motion estimation and compensation. For video sequences with or without camera motion, we propose a unified approach to extract the moving object models. This approach combines both the spatial information from current frame and the temporal information derived from global motion compensated f inme. Experimental results demo...
متن کاملLearning static object segmentation from motion segmentation
This thesis describes the SANE (Segmentation According to Natural Examples) algorithm for learning to segment objects in static images from video data. SANE uses background subtraction to find the segmentation of moving objects in videos. This provides object segmentation information for each video frame. The collection of frames and segmentations forms a training set that SANE uses to learn th...
متن کاملObject-based scene segmentation combining motion and image cues
This paper presents an object-based scene segmentation algorithm which combines the temporal information (e.g. motion) from video and image cues from individual frame. First a motionbased segmentation is decided based on the Hierarchical Principal Component Split (HPCS) algorithm for multi-moving-object motion classification. HPCS is a binary-tree-structured recursive procedure which clusters t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optics Express
سال: 2020
ISSN: 1094-4087
DOI: 10.1364/oe.385565